AI Jobs

Benefits:

• Set your own hourly rates

• Flexible scheduling

• Global reach to 100+ countries

• Marketing support and training

• Access to virtual classroom tools

Education Requirements:

• Deep knowledge of chemistry concepts

Experience Requirements:

• Passion for teaching

• Expertise in topics like organic or ap chemistry

Other Requirements:

• Create a free profile

• Approval within 2-5 business days

Responsibilities:

• Decide which level of chemistry to teach

• Get familiar with curriculum

• Establish teaching methods and tools

• Generate supplemental learning source list

• Create own materials over time

Benefits:

• Set your own hourly rates

• Flexible scheduling

• Global reach to 100+ countries

• Marketing support and training

• Access to virtual classroom tools

Education Requirements:

• Minimum high school degree for lower levels

• Specialist degree for higher level courses

Experience Requirements:

• Passion for teaching

• Knowledge of economics curriculum

Other Requirements:

• Create a free profile

• Approval within 2-5 business days

Responsibilities:

• Decide which subjects to tutor

• Choose age groups and grade levels

• Learn curriculum and key concepts

• Establish teaching methods and tools

• Create own teaching materials

Benefits:

• Set your own hourly rates

• Flexible scheduling

• Global reach to 100+ countries

• Marketing support and training

• Access to virtual classroom tools

Education Requirements:

• Minimum high school degree for lower levels

• Specialist degree for higher level courses

Experience Requirements:

• Passion for teaching

• Knowledge of reading curriculum

Other Requirements:

• Create a free profile

• Approval within 2-5 business days

Responsibilities:

• Decide which subjects to tutor

• Choose age groups and grade levels

• Learn curriculum and key concepts

• Establish teaching methods and tools

• Create own teaching materials

Benefits:

• Set your own hourly rates

• Flexible scheduling

• Global reach to 100+ countries

• Marketing support and training

• Access to virtual classroom tools

Education Requirements:

• Minimum high school degree for lower levels

• Specialist degree for higher level courses

Experience Requirements:

• Passion for teaching

• Knowledge of science curriculum

Other Requirements:

• Create a free profile

• Approval within 2-5 business days

Responsibilities:

• Decide which subjects to tutor

• Choose age groups and grade levels

• Learn curriculum and key concepts

• Establish teaching methods and tools

• Create own teaching materials

Benefits:

• Set your own hourly rates

• Flexible scheduling

• Global reach to 100+ countries

• Marketing support and training

• Access to virtual classroom tools

Education Requirements:

• Minimum high school degree for lower levels

• Specialist degree for higher level courses

Experience Requirements:

• Passion for teaching

• Knowledge of algebra curriculum

Other Requirements:

• Create a free profile

• Approval within 2-5 business days

Responsibilities:

• Decide which subjects to tutor

• Choose age groups and grade levels

• Learn curriculum and key concepts

• Establish teaching methods and tools

• Create own teaching materials

Benefits:

• Set your own hourly rates

• Flexible scheduling

• Global reach to 100+ countries

• Marketing support and training

• Access to virtual classroom tools

Education Requirements:

• Minimum high school degree for lower levels

• Specialist degree for higher level courses

Experience Requirements:

• Passion for teaching

• Knowledge of calculus curriculum

Other Requirements:

• Create a free profile

• Approval within 2-5 business days

Responsibilities:

• Decide which subjects to tutor

• Choose age groups and grade levels

• Learn curriculum and key concepts

• Establish teaching methods and tools

• Create own teaching materials

Benefits:

• Set your own hourly rates

• Flexible scheduling

• Global reach to 100+ countries

• Marketing support and training

• Access to virtual classroom tools

Education Requirements:

• Minimum high school degree for lower levels

• Specialist degree for higher level courses

Experience Requirements:

• Passion for teaching

• Knowledge of geometry curriculum

Other Requirements:

• Create a free profile

• Approval within 2-5 business days

Responsibilities:

• Decide which subjects to tutor

• Choose age groups and grade levels

• Learn curriculum and key concepts

• Establish teaching methods and tools

• Create own teaching materials

Benefits:

• Medical

• Dental

• Vision

• Paid Time Off

Education Requirements:

• Advanced Practice Nurse (NP/APN)

Experience Requirements:

• 3+ years of clinical experience

• Experience in triage, urgent care or Family Medicine

• Comfort working with digital tools and AI models

• Clinical informatics or digital health tools (Preferred)

• Familiarity with AI/LLMs (Preferred)

Other Requirements:

• Passion for innovation and improving healthcare delivery

• Strong communication skills

• Ability to work in a startup environment and adapt

Responsibilities:

• Design, build, and refine decision pathways logic

• Translate evidence-based guidelines into structured logic

• Monitor live patient engagement and system performance

• Design and tune Large Language Models (LLMs)

• Review and analyze model outputs

Benefits:

• Competitive compensation including equity

• Retirement and Employee Stock Purchase Plans

• Flexible paid time off

• Comprehensive benefit plans

• Professional development and yearly learning stipend

Education Requirements:

• Bachelor’s degree in Computer Science, Data Science, Mathematics, or Engineering

• Master’s or PhD in a relevant technical discipline preferred

Experience Requirements:

• 3–5+ years of hands-on experience as a Data Scientist or ML Engineer

• Experience in customer-facing or consulting roles strongly preferred

• Proficient in Python (Pandas) and core ML libraries

• Skilled in SQL for querying/manipulating datasets

Other Requirements:

• Expertise in writing well-structured, modular, documented code

• Knowledge of engineering best practices (Git, CI/CD, testing)

• Ability to translate technical concepts into clear business value

• Experience with DevOps tools (Airflow, Kubernetes, Terraform) is a plus

Responsibilities:

• Collaborate with customer teams on implementations and ML model configuration

• Extend product capabilities by developing reusable data pipelines and APIs

• Refine and advance reinforcement learning algorithms

• Shaping BrazeAI product strategy through technical expertise

• Provide ongoing expertise to ensure successful adoption and outcomes

Benefits:

• Competitive compensation including equity

• Retirement and Employee Stock Purchase Plans

• Flexible paid time off

• Comprehensive benefit plans

• Professional development and yearly learning stipend

Education Requirements:

• Bachelor’s degree in Computer Science, Data Science, Mathematics, or Engineering

• Master’s or PhD preferred

Experience Requirements:

• 3–5+ years of hands-on experience as a Data Scientist or ML Engineer

• Experience in production environments and large-scale data

• Proficiency in Python and ML libraries (TensorFlow, Keras, etc.)

Other Requirements:

• Follow strong development practices (Git, CI/CD, code reviews)

• Able to explain complex technical ideas persuasively

• Entrepreneurial problem-solver

• Continuous learner interested in industry trends

Responsibilities:

• Partner with customers to ensure their success with BrazeAI

• Develop reusable data pipelines and components

• Work with RL pipeline development team to advance algorithms

• Contribute to product strategy through customer-facing insights

• Provide technical expertise for measurable customer outcomes

Benefits:

• Competitive compensation including equity

• Retirement and Employee Stock Purchase Plans

• Flexible paid time off

• Comprehensive medical, dental, and vision plans

• Yearly learning stipend

Education Requirements:

• Bachelor’s degree in Computer Science, Data Science, Mathematics, or Engineering

• Master’s or PhD preferred

Experience Requirements:

• 3–5+ years of hands-on experience as a Data Scientist or ML Engineer

• Experience in customer-facing roles preferred

• Strong technical expertise in Python and SQL

Other Requirements:

• Modular and documented coding skills

• Customer collaborator and clear communicator

• Knowledge of DevOps tools is a nice-to-have

• Skilled in machine learning pipelines and model deployment

Responsibilities:

• Collaborate with customer Analytics/BI teams on data integration

• Extend product capabilities and develop reusable components

• Advance reinforcement learning (self-learning) algorithms

• Translate technical concepts into business value

• Ensure measurable outcomes and long-term customer success

Benefits:

• Competitive salary packages with equity options

• Remote-first culture with flexible hours

• Comprehensive health coverage

• Wellness stipends and mental health support

• Professional development budget

Responsibilities:

• Explore and develop novel approaches to NLP and conversational AI

Benefits:

• Comprehensive health, dental, and vision insurance

• The latest and best office equipment

• Competitive salary, equity, and benefits package

• Flexible work environment

• Unlimited, flexible time off

Education Requirements:

• Currently pursuing a Bachelor’s, Master’s, or Ph.D. in Computer Science, Statistics, or Data Science

Experience Requirements:

• Solid foundation in statistics and core machine learning concepts

• Strong proficiency in Python (Pandas, NumPy, Scikit-learn)

• Proficiency in SQL

• Prior professional or internship experience in data science

Other Requirements:

• Fluent in both English and Mandarin preferred

Responsibilities:

• Support development and validation of machine learning models

• Assist in building LTV and revenue forecasting models

• Design and analyze experiments to evaluate model effectiveness

• Conduct exploratory data analysis

• Build dashboards and data narratives

Experience Requirements:

• Relevant publications

• 2+ years of experience in a research role in industry

• Proven track record of contributions to open source language, audio, or video models

• 2+ years of experience contributing to the training and/or fine-tuning of models

Other Requirements:

• Expertise in the Python ecosystem and popular ML libraries and tools (e.g. PyTorch)

• Experience writing robust and maintainable production-ready code

• Comfort iterating quickly on new and uncertain research directions

Responsibilities:

• Build state-of-the-art speech-language models (SLMs)

• Build software systems for distributed training, inference, and benchmarking

• Massive-scale data collection, storage, preprocessing, and analysis

• Solve AI research problems at industry scale

Education Requirements:

• Ph.D. or M.S. in Chemistry, Materials Science, Chemical Engineering, or a related field

Experience Requirements:

• 3-5 years of industrial analytical chemistry experience

• Demonstrated expertise in tool management and method development

• Proven ability to solve complex analytical challenges

• A quality-first approach to method development and troubleshooting

• Detail-oriented with excellent project management skills

Other Requirements:

• Expertise in Gas, liquid, or ion chromatography

• Expertise in Mass spectrometry

• Expertise in Trace metals analysis by ICP-MS or OES

• Experience with lab quality standards (e.g., ISO 17025, ASTM, GMP)

• Experience supporting tool installation and qualification

Responsibilities:

• Own and ensure the success of projects in ICP-MS, ICP-OES, LC-MS, and GC-MS

• Develop and validate new analytical methods for diverse applications

• Interpret data, compile findings, and present results in customer-facing reports

• Assign and delegate projects, write SOPs, and train junior staff

• Maintain and optimize instrument performance and interface with vendor support

Benefits:

• Competitive pay

• health insurance

• daily breakfast

• weekday lunches

• Friday team lunch

Education Requirements:

• Bachelor’s degree in Engineering or a related field.

Experience Requirements:

• Minimum 2+ years of experience in Big Data.

Other Requirements:

• Proficient in SQL with the ability to write complex queries

• Strong Python skills (Pandas, NumPy, etc.)

• Excellent analytical and critical thinking abilities

• Familiarity with Google/AWS/Azure Cloud & Apache Spark

• Familiarity with Air Flow and Shell scripting

Responsibilities:

• Understand and leverage data assets with product and engineering teams

• Set up data processing pipelines using SQL, Python, Spark, and cloud

• Develop and optimize strategies for data storage and retrieval

• Research alternative data sources and assess their integration

Benefits:

• Competitive pay

• health insurance

• daily breakfast

• weekday lunches

• Friday team lunch

Education Requirements:

• Bachelor’s degree or higher in Business, Analytics, Statistics, or Math.

Experience Requirements:

• 2+ years of experience in data science or marketing science

Other Requirements:

• Highly analytical mindset with strong problem-solving skills

• Track record working with mid-market and enterprise brands

• Ability to communicate complex data science concepts simply

• Proficiency in leveraging social media for thought leadership

Responsibilities:

• Solve measurement needs using Marketing Mix Modeling and attribution

• Articulate value propositions of the UMM platform to brands

• Study customer business goals to offer expert recommendations

• Manage customer accounts and communications

• Contribute to product roadmap and feature development

Benefits:

• Health Care Coverage

• Education Reimbursement

• Competitive Paid Time Off

• 4 Self-Care Days per year

• Parental Leave

Education Requirements:

• Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field

Experience Requirements:

• Software engineering background with at least 8 years of experience

Other Requirements:

• Proficiency in Python, SQL, Unix-based systems, git, and github

• Machine / Deep Learning development skills (AWS SageMaker, Hugging Face, transformers, PyTorch)

• Fluent in written and spoken English

Responsibilities:

• Work with subject matter experts and product owners to determine what questions should be asked

• Curate, generate, and annotate data and create optimal datasets

• Develop and tune Machine Learning models

• Utilize, adopt, and fine-tune Language Models

• Stay current in the field and read research papers

Benefits:

• Health Care Coverage

• Education Reimbursement

• Competitive Paid Time Off

• Self-Care Days

• Parental Leave

Education Requirements:

• Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field

Experience Requirements:

• At least 10 years of industry experience in Machine / Deep Learning, Computer Science and Software Engineering

Other Requirements:

• Academic publications in peer reviewed conferences (NeurIPS, ICML, ICLR, etc.)

• Deep Learning development skills (PyTorch, PyTorch Lightning, Ray, AWS SageMaker)

• Understanding of Language Models and fine-tuning

• Fluent in written and spoken English

Responsibilities:

• Research and develop Machine Learning models and optimize for production

• Explore ongoing product issues and recommend innovative ML/AI based solutions

• Curate and generate optimal datasets following responsible practices

• Investigate weaknesses of models in production and work on pragmatic solutions

• Modify and fine-tune off the shelf models or develop novel models

Benefits:

• Health Care Coverage

• Education Reimbursement

• Competitive Paid Time Off

• 4 Self-Care Days per year

• Parental Leave

Education Requirements:

• Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field

Experience Requirements:

• At least 5 years of industry experience in Machine / Deep Learning, Computer Science and Software Engineering

Other Requirements:

• Academic publications in peer reviewed conferences

• Machine / Deep Learning development skills (PyTorch, Hugging Face, Transformers)

• Understanding of Language Models and industry-standard LM families

• Fluent in written and spoken English

Responsibilities:

• Research and develop production grade Machine Learning models

• Recommend innovative ML/AI based solutions for product challenges

• Curate and generate optimal datasets including SQL, no-SQL and web data

• Investigate weaknesses of models in production

• Fine-tune off the shelf models including LLMs via API and local hosting