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Beijing Institute for General Artificial Intelligence (BIGAI) favicon
Beijing Institute for General Artificial Intelligence (BIGAI)

研究员

BIGAI is a non-profit, world-class research institution focused on strategic, forward-looking, and fundamental scientific innovation in general AI.

scienceonsitefull-time

Education Requirements:

  • PhD degree in Computer Science, Software Engineering, Mathematics or related fields.

Experience Requirements:

  • Good academic background and excellent independent research and innovation ability, published impactful papers in top international conferences and journals.

  • Achieved significant results in at least one area among computer vision, natural language processing, robotics, cognitive science, machine learning, multi-agents, meta-intelligence and embodied intelligence.

Other Requirements:

  • Excellent Chinese and English expression skills, good teamwork spirit.

Responsibilities:

  • Mainly responsible for academic research and frontier exploration in general vision, natural language processing, robotics, cognition and reasoning, machine learning, multi-agents, intelligent interaction.

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Beijing Institute for General Artificial Intelligence (BIGAI) favicon
Beijing Institute for General Artificial Intelligence (BIGAI)

研究员(自然语言方向)

BIGAI is a non-profit, world-class research institution focused on strategic, forward-looking, and fundamental scientific innovation in general AI.

scienceonsitefull-time

Education Requirements:

  • PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing or related fields.

Experience Requirements:

  • In-depth research experience in human-machine value alignment, long-text modeling, efficient language models, explainable language models, language model inference, RAG knowledge integration, capable of independently conducting research projects.

  • Knowledge of Natural Language Processing and Machine Learning fundamentals, deep understanding of Machine Learning and Deep Learning algorithms, especially their application in Natural Language Processing.

  • Published high-quality academic papers in top international conferences (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR) or journals.

  • Bonus: unique understanding, models, or systematic work in related Natural Language Processing subfields.

  • Bonus: led large Natural Language Processing related projects, including large language model training and data cleaning, complex human-computer interaction systems.

Other Requirements:

  • Excellent Chinese and English expression skills, good teamwork spirit.

  • Strong curiosity and innovative spirit, able to continuously explore new research directions and technological applications.

Responsibilities:

  • Conduct cutting-edge research and technology development in natural language frontier areas such as value alignment, efficient language modeling, explainable large models, long-text understanding and reasoning, lead, collaborate and execute to advance frontier research in Natural Language Processing.

  • Write high-quality academic papers, actively participate in submissions and publications to top international conferences and journals, enhance the lab's academic influence.

  • Collaborate closely with product, engineering, and data teams to apply research results to actual products, promoting technology implementation.

  • Participate in academic conferences, seminars, and internal technical sharing sessions, continuously track industry trends, and promote the team's technical level.

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Beijing Institute for General Artificial Intelligence (BIGAI) favicon
Beijing Institute for General Artificial Intelligence (BIGAI)

NLP算法研究工程师

BIGAI is a non-profit, world-class research institution focused on strategic, forward-looking, and fundamental scientific innovation in general AI.

scienceonsitefull-time

Education Requirements:

  • Master's degree or above in Computer Science, Software Engineering, Mathematics or related fields.

Experience Requirements:

  • At least some accumulation in one NLP area.

  • Basic Natural Language Processing knowledge and Machine Learning fundamentals, understanding of common language models like transformer, seq2seq, proficient in PyTorch, Transformers and other deep learning frameworks.

  • Proficient in vllm, peft, trl and other language model frameworks preferred.

  • Practical experience in pre-trained language models, large language model fine-tuning, multimodal language model training preferred.

  • Experience in AI related app development, participated in AI/ML related GitHub projects with 100+ stars preferred. Published papers in AI journals/conferences like ACL, EMNLP, NAACL, CoLM, ICLR, ICML, NeurIPS preferred.

Other Requirements:

  • Excellent Chinese and English expression skills, good teamwork spirit.

Responsibilities:

  • Track latest Natural Language Processing research progress, conduct algorithm reproduction, migration and debugging for typical tasks such as multimodal modeling, human-computer interaction, natural language inference.

  • Collaborate with team members on academic research and frontier exploration in Natural Language Processing.

  • Lead or participate in the design and development of platforms or systems, promote the implementation of Natural Language Processing basic model algorithms.

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Suno

Senior Data Scientist, Recommendations

Suno is an AI tool that empowers anyone to create great music, transforming ideas from a simple prompt into a full track, no instruments needed.

scienceonsiteBoston, US
$170K - $230K
full-time

Benefits:

  • Generous Company Equity Package

  • 401(k) with 3% Employer Match & Roth 401(k)

  • Unlimited PTO & Sick Time

  • Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)

  • Continued / Creative Education Stipend

Experience Requirements:

  • 5+ years experience in data science or machine learning roles with direct experience building recommendation systems - ideally in consumer products, music/audio, or content platforms

  • Strong technical skills in Python, SQL, and modern ML techniques for recommendations

  • Experience designing and running rigorous experiments, evaluating tradeoffs, deriving clear insights, and making actionable recommendations

  • Excellent communication and experience working across multiple functions to influence decisions

  • A self-starter mentality with the ability to thrive in ambiguity, eagerness to wear multiple hats, and passion for continuous learning

Other Requirements:

  • Applicants must be eligible to work in the US.

  • This is an onsite role in Cambridge, NYC, Venice Beach, or SF

Responsibilities:

  • Define content strategy

  • Get hands-on: Dive deep into user behavior patterns and content characteristics, using these insights to prototype and improve upon recommendation algorithms and features

  • Design and run experiments: Create rigorous testing frameworks to validate recommendation improvements and measure impact on user engagement, retention, and music creation

  • Build evaluation systems: Develop comprehensive frameworks for measuring recommendation quality across multiple dimensions - relevance, diversity, novelty, and user satisfaction

  • Collaborate cross-functionally: Work closely with engineering to test and implement recommendation algorithms and with product to shape user experience

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Suno

Sr. Data Scientist, Growth Marketing

Suno is an AI tool that empowers anyone to create great music, transforming ideas from a simple prompt into a full track, no instruments needed.

scienceonsiteBoston, US
$170,000 - $230,000
full-time

Benefits:

  • Generous Company Equity Package

  • 401(k) with 3% Employer Match & Roth 401(k)

  • Unlimited PTO & Sick Time

  • Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)

  • Continued / Creative Education Stipend

Experience Requirements:

  • 5+ years experience in data science, with specific experience in growth and paid / performance marketing

  • Strong quantitative foundation and experience in statistical modeling

  • Expertise in experimental design, with demonstrated experience running both product and marketing experiments

  • Worked closely on defining and measuring growth, onboarding, and retention metrics

  • Advanced proficiency in SQL and Python for data analysis, statistical modeling, and automation

Other Requirements:

  • Applicants must be eligible to work in the US.

  • Suno employees are expected to work 5 days/week in one of our offices.

Responsibilities:

  • Drive growth strategy through rigorous analysis of both product usage patterns and marketing channel performance

  • Design and analyze experiments across product features and marketing campaigns to optimize user acquisition, activation, and retention

  • Develop and maintain attribution models to understand the effectiveness of various growth channels and optimize marketing spend

  • Build predictive models for user behavior, including conversion propensity, churn likelihood, and lifetime value

  • Partner with data engineering to ensure robust data collection and transformation for growth analytics

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Iambic

Machine Learning Scientist II/Sr (Omics) - UK

Iambic is a cutting-edge AI-driven platform that tackles challenging drug design problems, optimizing medicines and accelerating the discovery of novel therapeutics.

scienceremoteBristol, GBfull-time

Benefits:

  • competitive compensation package

  • pension contributions

  • flexible holiday allowances

Education Requirements:

  • PhD (or equivalent experience) in machine learning, computational biology, bioinformatics, computer science, or a related field

Experience Requirements:

  • 3+ years of relevant experience

Other Requirements:

  • Demonstrated expertise applying deep learning to omics data at scale

  • Proficiency in Python and modern deep‑learning frameworks (PyTorch, JAX, or similar)

  • Experience designing and operating data pipelines for genomics, transcriptomics, proteomics, or metabolomics

  • Solid grasp of causal inference, experimental design, and statistics

  • Familiarity with software engineering best practices, version control, code review, and continuous integration

Responsibilities:

  • Identify, prioritize, and acquire multi-omics datasets

  • Build, maintain, and document data pipelines that ingest, quality‑control, and harmonize large multi‑omics datasets

  • Design schemes for pretraining and finetuning Enchant on multi-omics data

  • Define benchmarks for target‑selection and biomarker tasks; source or assemble reference datasets to measure progress

  • Apply causal‑inference principles to propose experiments that disambiguate biological mechanisms and validate model outputs

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Iambic

Machine Learning Scientist II/Sr (Omics) - US

Iambic is a cutting-edge AI-driven platform that tackles challenging drug design problems, optimizing medicines and accelerating the discovery of novel therapeutics.

scienceremoteUS
$152K - $215K
full-time

Benefits:

  • industry leading competitive pay

  • company paid healthcare

  • flexible spending accounts

  • voluntary life insurance

  • 401K matching

Education Requirements:

  • PhD (or equivalent experience) in machine learning, computational biology, bioinformatics, computer science, or a related field

Experience Requirements:

  • 3+ years of relevant experience

Other Requirements:

  • Demonstrated expertise applying deep learning to omics data at scale

  • Proficiency in Python and modern deep‑learning frameworks (PyTorch, JAX, or similar)

  • Experience designing and operating data pipelines for genomics, transcriptomics, proteomics, or metabolomics

  • Solid grasp of causal inference, experimental design, and statistics

  • Familiarity with software engineering best practices, version control, code review, and continuous integration

Responsibilities:

  • Identify, prioritize, and acquire multi-omics datasets

  • Build, maintain, and document data pipelines that ingest, quality‑control, and harmonize large multi‑omics datasets

  • Design schemes for pretraining and finetuning Enchant on multi-omics data

  • Define benchmarks for target‑selection and biomarker tasks; source or assemble reference datasets to measure progress

  • Apply causal‑inference principles to propose experiments that disambiguate biological mechanisms and validate model outputs

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Flair AI

Data Scientist, Product Analytics

Flair AI is an AI design tool for product marketing, enabling teams to build stunning AI product content in real-time for branded visuals and marketing assets.

scienceonsiteSan Francisco, USfull-time

Education Requirements:

  • Master's degree in data analytics, business analytics, or other closely related field

Experience Requirements:

  • 1 year of related experience in data analytics

Responsibilities:

  • Formulate hypotheses and test them using rigorous analytical methodologies and diverse frameworks

  • Conduct advanced statistical analysis, machine learning, and data mining to drive product insights

  • Develop and implement predictive models to support product strategy and decision-making

  • Define key performance indicators (KPIs) and develop dashboards to monitor product performance

  • Conduct A/B testing and other experimental methods to measure the impact of product changes

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SiteRecon

Senior Computer Vision Researcher

SiteRecon is a mapping software empowering landscaping pros to deliver exceptional customer experiences from sales to renewal, boosting efficiency and growth.

scienceonsiteBengaluru, INfull-time

Education Requirements:

  • preferably tier-1 college (IISc, IITs, NITs, BITS and others)

  • Masters/PhD in Computer Science, Machine Learning, or related field preferred

Experience Requirements:

  • 5-15 YOE

  • Worked on at least 1 Computer vision problem statement in the past 5 years

  • Have built, trained and deployed models on production before

  • Experience with vision transformer architectures

  • Experience optimizing models for production using ONNX/TensorRT','Background in handling high-resolution satellite/aerial imagery preferred

Other Requirements:

  • Comfortable with WFO in Bangalore or Noida

  • Happy to read research papers day in day out and train on terabytes of image data on big H100 clusters

  • Strong foundation in computer vision and deep learning fundamentals

  • Extensive experience training transformer models from scratch

  • Expert-level proficiency in PyTorch

  • Experience with ONNX or TensorRT model optimization and deployment

  • Deep understanding of distributed computing and parallel processing

  • Advanced Python knowledge, including multi-threading and multi-processing optimization

  • Experience with semantic segmentation tasks

  • Proven track record of handling large-scale data processing

Responsibilities:

  • Design and implement transformer-based architecture for semantic segmentation of aerial imagery

  • Develop efficient image-to-token and token-to-image conversion pipelines

  • Create and maintain training datasets, including data cleaning, augmentation, and validation

  • Optimize model training processes for distributed computing environments

  • Implement efficient inference pipelines for production deployment','Collaborate with engineering team to integrate new models into existing infrastructure

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Innovature

Data Analyst

Innovature is a global leader in business consulting and technology services, enabling digital transformation with cutting-edge AI, cloud, and data management solutions.

scienceonsiteKochi, INfull-time

Experience Requirements:

  • 2 - 3 Years

  • 2-4 years of experience in a data analyst role with experience in analyzing customer data, sales data, and product data.

Other Requirements:

  • Proficient in data engineering tools and languages such as Python, SQL, and Java.

  • Strong knowledge of business intelligence (BI) tools such as Tableau, Power BI or similar for creating reports and dashboards.

  • Ability to work with databases(SQL & NoSQL) and perform complex data queries.

  • Familiarity with data wrangling, ETL processes and data cleaning techniques.

  • Clear understanding of data warehousing & cloud based analytics .

  • Ability to apply data insights to influence marketing strategies, sales tactics, and product offerings.

Responsibilities:

  • Analyze large volumes of analytical data (sales, customer, product) to identify patterns, trends, and insights.

  • Develop and maintain data reports and dashboards using business intelligence tools (e.g., Tableau, Power BI, etc.)

  • Collaborate with business teams to understand key business objectives and data needs.

  • Analyze customer behavior, product usage, and historical purchase data to identify cross-selling opportunities.

  • Ensure data models and structures are well-designed to facilitate analysis and reporting.

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Innovature

AI Engineer(AI/ML & Generative AI)

Innovature is a global leader in business consulting and technology services, enabling digital transformation with cutting-edge AI, cloud, and data management solutions.

scienceonsiteKochi, INfull-time

Experience Requirements:

  • 2 - 3 Years

  • Minimum 1+ years of hands-on experience in AI/ML and Generative AI projects.

Other Requirements:

  • Minimum 1+ years of hands-on experience in AI/ML and Generative AI projects.

  • Proficiency in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Hugging Face).

  • Strong grasp of machine learning concepts, model development lifecycle, and performance evaluation.

  • Experience working with transformer-based architectures and generative techniques like GANs, VAEs, or diffusion models.

  • Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) and MLOps tools.

  • Excellent problem-solving, communication, and teamwork skills.

  • Experience deploying models into production environments.

  • Familiarity with LLM fine-tuning, prompt engineering, or synthetic data generation.

  • Excellent communication and presentation skills are essential.

Responsibilities:

  • Design, develop, and implement machine learning models and algorithms for real-world applications.

  • Research and experiment with Generative AI models (e.g., GPT, diffusion models, transformers) to solve complex problems.

  • Collaborate in a culture of experimentation, contributing to PoCs, rapid prototyping, and iterative model development.

  • Build and maintain data pipelines and infrastructure in collaboration with Data Engineers.

  • Partner with cross-functional teams including product, engineering, and analytics to define AI/ML use cases and deliver impactful solutions.

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Whiterabbit.ai

Research Scientist Intern (2025)

Whiterabbit.ai is an AI-driven platform offering comprehensive solutions to improve mammography screening, aiming to detect breast cancer at its earliest stages.

scienceremoteinternship

Experience Requirements:

  • Experience with deep learning and convolutional networks

  • Strong theoretical and empirical research background

  • Fluency with a deep learning framework and Python

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR

  • Large scale machine learning experience working with terabytes of data

Other Requirements:

  • Implemented custom operations/modules in a deep learning framework

  • Imagination, ambition, and curiosity

Responsibilities:

  • Develop highly scalable classifiers and detectors that solve real-world problems

  • Learn and understand a large body of research in deep learning and machine learning

  • Participate in cutting-edge research for medical applications of computer vision

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Imbue

Research Scientist

Imbue is building an AI-powered coding agent environment that integrates engineering wisdom into LLM workflows, enabling users to create trustworthy software.

scienceonsiteSan Francisco, US
$250,000 cash - $500,000 cash
full-time

Benefits:

  • Lunch provided daily to onsite employees

  • 250 lifestyle stipend per month

  • Generous budget for self-improvement: coaching, courses, conferences, etc

  • Actively co-create and participate in a positive, intentional team culture

  • Frequent team events, dinners, off-sites, and hanging out

Experience Requirements:

  • A track record of high-quality papers, open-source projects, or equivalent accomplishments in industry

  • Experience with empirical research, with the ability to craft and execute on research projects that solve algorithmic and engineering problems

  • 5+ years ML coding and/or research experience

Other Requirements:

  • Great intuition with the ability to identify promising areas and avoid dead ends

  • A preference for fast, collaborative research efforts

Responsibilities:

  • Lead research initiatives in AI-assisted software development

  • Develop SotA LLMs on agentic coding tasks via supervised and RL post-training

  • Turn ambiguous problems into quantifiable ones

  • Keep up to date with state-of-the-art techniques, and use good judgment on when to apply them

  • Design and run ML experiments to drive a broader research agenda

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IVIX

Senior Data Analyst

IVIX is a powerful AI tool that transforms public data to pinpoint hidden business activity, combat financial crime, and identify tax noncompliance.

scienceonsiteTel Aviv, ILfull-time

Experience Requirements:

  • 5 years experience as a data analyst

  • Proven experience with ownership of cross-team projects

Other Requirements:

  • Investigative and analytical problem-solving skills

  • Proactive approach

  • SQL and Python proficiency

  • Fluency in English

  • MongoDB, Neo4j: big advantage

Responsibilities:

  • Drive Data-Informed R&D Direction

  • Lead High-Impact Analytical Projects

  • Mentor and Guide Other Analysts

  • Collaborate Across Disciplines

  • Participate in delivery of high profile leads to customers.

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fal.ai

Research Scientist (Engineering)

fal.ai is a generative media platform for developers, providing access to image, video, and audio models, serverless GPUs, and on-demand clusters for model development.

sciencehybridSan Francisco, USfull-time

Benefits:

  • Interesting and challenging work

  • Competitive salary and equity

  • Employee-friendly equity terms (early exercise, extended exercise)

  • A lot of learning and growth opportunities

  • visa sponsorship and relocation assistance to San Francisco.

Experience Requirements:

  • Work published in ICCV, ICML, Neurips, CVPR

Responsibilities:

  • develop new methods to solve customers problems

  • entirely novel training or architecture developments

  • fine-tuning pre-existing models with novel datasets

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Intrinsic

Applied Research Engineer, Motion Planning

Intrinsic is a platform for next-generation intelligent automation, making it easier for developers and businesses to unlock the value of robotics.

sciencehybridMountain View, US
$200,000 USD - $230,000 USD
full-time

Education Requirements:

  • Masters in Computer Science, Robotics or equivalent

Experience Requirements:

  • At least 2 years of experience in one or more of: motion planning for robotics, classical robot motion planning (e.g., RRTs, PRMs), machine learning/deep learning

  • research experience in a related field and at least one high-quality publication in a peer-reviewed academic journal/conference

Other Requirements:

  • Be knowledgeable and comfortable in working with physical simulations (e.g., Gazebo, Bullet, MuJoCo, IsaacSim, etc.) to implement motion planning/machine learning algorithms

  • Solid Experience programming in C++, Python, and ideally Jax

Responsibilities:

  • Develop new motion planning approaches for single and multi-robot planning, starting from existing prototypes

  • Exploit advances in machine learning (e.g,. graph nets, deep-learning, transformer models, etc.) for developing novel data-driven motion planning systems

  • Implement state of the art algorithms and libraries in Python, C++, and Jax

  • Bring problems from industrial partners to functional new solutions with very high reliability and performance

  • Distill recent robotics/ML research publications for target problems and implement promising solutions

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artlabs

Data Annotation Intern

artlabs is an AI platform powering the world's most reliable 3D and shoe virtual try-on for commerce, creating high-quality 3D models from product images.

scienceremoteinternship

Education Requirements:

  • Must be in pursuit of a Bachelor’s Degree or possessing one

Experience Requirements:

  • Basic knowledge of Image Processing/Computer Vision (plus)

  • Experience with data annotation tools like CVAT or TORAS (plus)

Other Requirements:

  • Motivated self-starter and team player with strong communication and problem-solving skills

  • Detail-oriented, hardworking, and enthusiastic

Responsibilities:

  • Helping to annotate image data via computer using various open-source software programs

  • Crawling the internet to build datasets when or if needed

  • Teamwork in an Agile environment

  • Working with the R&D team to help build machine learning algorithms

  • Effective communication with engineers

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Prolific

AI Trainer - Advanced Mandarin Fluency

Prolific is a self-serve platform connecting researchers and AI developers with over 200k active participants to gather high-quality human data for AI training, evaluation, and research.

scienceremotefreelance

Benefits:

  • Competitive pay rates

  • Flexible hours

  • Ability to work from home

Experience Requirements:

  • Advanced language skills and verifiable experience as being fluent in Mandarin

  • A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool

Other Requirements:

  • Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time

  • A reliable and fast internet connection and access to a computer

  • A willingness to self-declare your earnings, as our participants are self-employed

  • A Paypal account to receive payment from our clients

Responsibilities:

  • Completing AI training tasks such as analyzing, editing, and writing in Mandarin

  • Judging the performance of AI in performing Mandarin prompts

  • Improving cutting-edge AI models

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Prolific

AI Trainer - Advanced Python Developers

Prolific is a self-serve platform connecting researchers and AI developers with over 200k active participants to gather high-quality human data for AI training, evaluation, and research.

scienceremotefreelance

Benefits:

  • Competitive pay rates

  • Flexible hours

  • Ability to work from home

Experience Requirements:

  • Python developer skills and verifiable professional experience as a Python developer

  • A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool

Other Requirements:

  • Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time

  • A reliable and fast internet connection and access to a computer

  • A willingness to self-declare your earnings, as our participants are self-employed

  • A Paypal account to receive payment from our clients

Responsibilities:

  • Completing AI training tasks such as analyzing, editing, and writing Python

  • Judging the performance of AI in performing Python-related prompts

  • Improving cutting-edge AI models

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Prolific

AI Trainer - Advanced Python Developers (US)

Prolific is a self-serve platform connecting researchers and AI developers with over 200k active participants to gather high-quality human data for AI training, evaluation, and research.

scienceremoteUSfreelance

Benefits:

  • Competitive pay rates

  • Flexible hours

  • Ability to work from home

Experience Requirements:

  • Python developer skills and verifiable professional experience as a Python developer

  • A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool

Other Requirements:

  • Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time

  • A reliable and fast internet connection and access to a computer

  • A willingness to self-declare your earnings, as our participants are self-employed

  • A Paypal account to receive payment from our clients

Responsibilities:

  • Completing AI training tasks such as analyzing, editing, and writing Python

  • Judging the performance of AI in performing Python-related prompts

  • Improving cutting-edge AI models

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