Machine Learning Expert (Python, GenAI, SQL)

The Work

You will create original computational problems in machine learning, statistics, and other STEM areas. Problems should reflect real scientific workflows, require Python programming and meaningful reasoning, and be too computationally demanding to solve manually in a reasonable time.

You will verify solutions with reproducible Python code, check the outputs, and document each problem with a clear statement and validated answer. The work may include text generation, question answering, response evaluation, and computer programming tasks.

• Create original computational STEM and machine learning problems.
• Write Python-based solutions using tools such as NumPy, Pandas, SciPy, and scikit-learn.
• Validate results with reproducible code and correct outputs.
• Document problem statements, solution paths, and verified answers clearly.
• Work with text-based tasks covering generation, question answering, evaluation, and coding.

What It Pays And Takes

This is a global, part-time contractor role for an experienced machine learning specialist. The project is not permanent, and the work requires strong technical judgment, careful verification, and clear written English.

• Pay: $40 per hour.
• Time: 20+ hours per week.
• Location: Open worldwide, from any location.
• English: Fluent written English at C1+ level or equivalent.
• Experience: Expert level with 5+ years of hands-on machine learning experience and demonstrated business impact.
• Python: Expert data science skills with NumPy, Pandas, SciPy, and scikit-learn; statsmodels is a bonus.
• Statistics and machine learning: Strong statistical analysis skills, algorithm knowledge, and understanding of practical trade-offs.
• Problem design: Ability to create original STEM and machine learning problems with clear solution paths.
• SQL: Strong skills with joins, aggregations, window functions, and database data manipulation.
• Generative AI: Experience with LLMs, retrieval-augmented generation, prompt engineering, and vector databases.
• MLOps: Familiarity with packaging, reproducibility, monitoring basics, and deployment workflows.
• Frameworks: Experience with TensorFlow or PyTorch; LangChain is a bonus.
• Communication: Able to write clear technical documentation in English.

How It Works

Apply on OpenTrain. The employer reviews applications there.

About AI Training Work

AI training is the human work behind systems that generate and understand text, code, and other data. Contributors create examples, check answers, and rate model output so these systems become more accurate and useful; experienced specialists are paid for applying their technical judgment to difficult tasks.

OpenTrain AI is the hiring and contracting organization for this role. Creating an OpenTrain account is free, and you can apply through the platform.

Where you can work

This role is 100% remote: you can work from any country except Andorra, Afghanistan, Barbados, Burkina Faso, Burundi, Brazil, Belarus, Belize, DR Congo, Central African Republic, Congo (Republic), Cameroon, China, Cuba, Cape Verde, Djibouti, Dominica, Eritrea, Fiji, Micronesia, Grenada, Georgia, Guinea, Equatorial Guinea, Guinea-Bissau, Honduras, Haiti, Iraq, Iran, Kyrgyzstan, Kiribati, Comoros, St. Kitts and Nevis, North Korea, Lebanon, Liberia, Lesotho, Libya, Montenegro, Marshall Islands, Mali, Myanmar, Mauritania, Maldives, Malawi, Nicaragua, Nepal, Nauru, Papua New Guinea, Palestine, Palau, Russia, Solomon Islands, Seychelles, Sudan, Sierra Leone, Somalia, Suriname, South Sudan, São Tomé and Príncipe, Syria, Eswatini, Chad, Togo, Tajikistan, Timor-Leste, Turkmenistan, Tonga, Tuvalu, Ukraine, Uganda, Vatican City, St. Vincent and Grenadines, Venezuela, Vanuatu, Samoa, Yemen, Zambia and Zimbabwe.