Senior Data Science AI Task Designer (Python & SQL, 5+ yrs)

About OpenTrain

OpenTrain aggregates data‑labeling and AI‑training jobs from many AI companies and platforms into one searchable job board. Creating an OpenTrain account is free and applying takes only a few minutes.

We connect expert contributors with projects that shape how modern AI systems behave — from annotation to advanced task design and human feedback work.

About AI training work

AI training (also called data labeling, annotation, or human feedback work) is the human side of building models. People prepare, verify, and evaluate examples so models learn accurate, safe, and useful behavior.

This role focuses on designing high‑quality, computationally intensive evaluation and training problems that simulate real end‑to‑end data science workflows and are used to train and assess advanced AI systems.

The role

You will design complex, deterministic data science tasks that simulate realistic, industry‑scale workflows (ingestion → cleaning → EDA → modeling → validation → deployment considerations).

You must implement and verify solutions in Python using standard data science libraries, include big‑data and scalability considerations, and deliver clear business context, problem statements, and verified correct answers for each scenario.

• Position title: Senior Data Science AI Task Designer.
• Commitment: Less than 20 hours per week (part‑time, contractor).
• Pay: $50 USD per hour (PAY_PER_HOUR).
• Work model: Remote; worldwide applicants accepted except for listed exclusions.

What you'll do

Create deterministic, computationally intensive problems requiring non‑trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.

Implement end‑to‑end reference solutions in Python and verify their correctness; document assumptions, datasets, and expected outputs clearly for automated evaluation and human review.

• Design full‑pipeline scenarios across industries (telecom, finance, government, e‑commerce, healthcare, etc.).
• Write reproducible Python notebooks or scripts using pandas, numpy, scipy, scikit‑learn, statsmodels, and related tools.
• Include SQL/design notes for large‑scale data ingestion and manipulation; highlight scalability and MLOps considerations.
• Produce concise, structured technical documentation and verified correct answers for each task.

Requirements

You must meet all substantive technical and qualification requirements listed below.

We preserve these exact expectations because tasks you create will evaluate advanced AI systems and must be unambiguous, reproducible, and industry‑relevant.

• Advanced degree (Master’s or PhD) in Data Science, Statistics, Mathematics, Computer Science, or a closely related quantitative field.
• At least 5 years of hands‑on data science experience with demonstrable business impact (industry, consulting, or similar).
• Expert Python for data science: pandas, numpy, scipy, scikit‑learn, statsmodels.
• Strong proficiency in SQL and database operations for large‑scale manipulation and analysis.
• Deep understanding of statistics and machine learning algorithms, including assumptions, limitations, and practical use cases.
• Proven ability to design deterministic, computationally intensive problems spanning ingestion → cleaning → EDA → modeling → validation → deployment considerations.
• Experience with GenAI (LLMs, RAG, prompt engineering, vector databases) and familiarity with MLOps and deployment workflows is highly valued.
• Working knowledge of modern ML/AI frameworks such as TensorFlow, PyTorch, and LangChain.
• Advanced English (CEFR C1 or higher) and strong technical writing skills for clear, structured problem statements and solutions.
• Reliable laptop/desktop, stable internet connection, and availability to take on recurring project tasks.

Location, eligibility, and logistics

This is a remote, part‑time contractor role with a maximum of less than 20 hours per week. Pay is $50 USD per hour (PAY_PER_HOUR).

OpenTrain accepts applicants worldwide but this role excludes candidates based on the following locations. Please confirm you are not resident in any excluded location before applying.

• Not eligible if based in: Iran, Cuba, North Korea, Syria, Sudan, Venezuela, Myanmar.
• Not eligible if based in: Switzerland.
• Not eligible if based in: China, Taiwan, Kenya.
• Not eligible if based in: Armenia, Israel, Kazakhstan, UAE, Netherlands, Serbia, Kyrgyzstan, Turkey, Uzbekistan, Belarus, Russia, Ukraine, Abkhazia, South Ossetia.
• Not eligible if based in the following US states: Alaska, Arkansas, California, Connecticut, Delaware, Georgia, Hawaii, Illinois, Indiana, Kansas, Louisiana, Maine, Maryland, Massachusetts, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, Ohio, Oregon, Tennessee, Utah, Vermont, Washington, W
• Not eligible if based in: Antarctica, Aruba, Åland Islands, Saint Barthélemy, Bonaire, Sint Eustatius and Saba, Bouvet Island, Cocos (Keeling) Islands, Democratic Republic of the Congo, Cook Islands, Christmas Island.
• Not eligible if based in: Western Sahara, Falkland Islands (Malvinas), French Guiana, Guadeloupe, South Georgia and the South Sandwich Islands, Heard Island and McDonald Islands, British Indian Ocean Territory, Northern Mariana Islands, Martinique.
• Not eligible if based in: New Caledonia, Norfolk Island, Niue, French Polynesia, Saint Pierre and Miquelon, Pitcairn, Réunion, Saint Helena, Ascension and Tristan da Cunha, Svalbard and Jan Mayen, Sint Maarten (Dutch part).
• Not eligible if based in: French Southern Territories, Tokelau, United States Minor Outlying Islands, Holy See, Virgin Islands (British), Wallis and Futuna, Mayotte.

Who should apply

Experienced, senior data scientists who enjoy problem design and technical writing, and who want to help train and evaluate cutting‑edge AI systems should apply.

You should be comfortable producing reproducible code, thinking about scale and deployment, and writing concise, verifiable solutions that an automated system or reviewer can follow.

• You have deep practical experience and can show examples of impactful projects, reproducible analyses, or published work.
• You can produce clear technical documentation in English and deliver verified reference solutions in Python and SQL.

How to apply

Create a free OpenTrain account, upload your CV or portfolio, and submit your application. Applying through OpenTrain usually takes only a few minutes.

In your application, include a short portfolio or links to examples of reproducible data science work (not required to be public) and a brief note describing a representative project where you delivered measurable business impact.

• Employment type: Contractor, Part‑time.
• Typical weekly commitment: Less than 20 hours.
• Pay: $50 USD/hour.