Senior Data Science AI Task Designer

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. OpenTrain helps people start and grow in this fast-moving field, where expert contributors shape how advanced AI systems learn to solve real-world problems.

• Remote contract work with flexible, part-time availability
• Create an OpenTrain account and apply in minutes
• Compensation: $50 USD per hour

About AI Training Work

AI training is the human side of building artificial intelligence. People prepare examples, test model capabilities, and evaluate outputs so AI systems can handle complex tasks more accurately. In this role, your work will focus on advanced, full-pipeline data science challenges rather than simple data labeling.

• Contribute directly to the training and evaluation of advanced AI systems
• Work remotely with a computer and reliable internet connection
• Apply practical expertise from statistics, machine learning, analytics, and programming

The Role

As a Senior Data Science AI Task Designer, you will design complex, computationally intensive data science problems that simulate realistic end-to-end workflows across industries such as telecom, finance, government, e-commerce, and healthcare. Your scenarios will require substantial reasoning across data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.

The problems you create must be deterministic and sufficiently sophisticated that they cannot be solved manually within a reasonable timeframe. You will implement and verify solutions in Python using standard data science libraries, account for big-data and scalability considerations, and document clear business contexts, problem statements, and verified correct answers. These deliverables will be used to evaluate and train advanced AI systems on real-world data science tasks.

• Design realistic problems spanning the complete data science pipeline
• Build tasks that test non-trivial reasoning and computational execution
• Create verified reference solutions and precise technical documentation
• Work with advanced data science, machine learning, and analytics concepts

What You'll Do

You will translate realistic business scenarios into well-defined technical challenges and establish solutions that can be checked deterministically. Your work will cover the progression from data ingestion and cleaning through exploratory analysis, modeling, validation, and deployment considerations.

• Develop complex data processing and analysis problems in Python and SQL
• Incorporate statistical analysis, feature engineering, and predictive modeling
• Use pandas, numpy, scipy, scikit-learn, and statsmodels to implement solutions
• Design scenarios with large-scale data manipulation and scalability considerations
• Verify outputs and document correct answers clearly and consistently
• Apply knowledge of machine learning algorithms, assumptions, limitations, and use cases
• Bring relevant experience with LLMs, RAG, prompt engineering, vector databases, MLOps, TensorFlow, PyTorch, or LangChain where applicable

Requirements

This role is intended for highly experienced data scientists who can combine advanced quantitative knowledge with hands-on implementation and strong technical writing. You should be comfortable creating precise, deterministic tasks that reflect how data science is practiced in real organizations.

• 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 proven business impact in industry, consulting, or a similar setting
• Expert Python skills for data science, including pandas, numpy, scipy, scikit-learn, and statsmodels
• Strong proficiency in SQL and database operations for large-scale data manipulation and analysis
• Deep understanding of statistical analysis and machine learning algorithms, including assumptions, limitations, and practical use cases
• Ability to design deterministic, computationally intensive problems across ingestion, cleaning, EDA, modeling, validation, and deployment considerations
• Experience with GenAI technologies such as LLMs, RAG, prompt engineering, and vector databases
• Familiarity with MLOps concepts, model deployment workflows, TensorFlow, PyTorch, and LangChain
• Advanced English proficiency at C1 or higher, with clear and structured technical writing skills
• Reliable laptop or desktop, stable internet connection, and sufficient availability for recurring project tasks

Availability and Location Eligibility

This is a part-time contractor opportunity requiring less than 20 hours per week. Candidates cannot be based in Iran, Cuba, North Korea, Syria, Sudan, Venezuela, Myanmar, Switzerland, China, Taiwan, Kenya, Armenia, Israel, Kazakhstan, UAE, Netherlands, Serbia, Kyrgyzstan, Turkey, Uzbekistan, Belarus, Russia, Ukraine, Abkhazia, or South Ossetia.

Candidates also cannot be based in the US states of 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, or West Virginia.

Additional location restrictions apply to 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, 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, 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), French Southern Territories, Tokelau, United States Minor Outlying Islands, Holy See, Virgin Islands (British), Wallis and Futuna, and Mayotte.

• Workload: less than 20 hours per week
• Contract type: part-time contractor
• Language: advanced English, C1 or higher
• Pay: $50 USD per hour

How to Apply

If you meet the quantitative, technical, and writing requirements, create a free OpenTrain account and apply through OpenTrain AI. This opportunity offers a way to use professional data science experience on challenging AI training work while maintaining a flexible part-time schedule.

• Review the technical and location requirements
• Create your free OpenTrain profile
• Submit your application through OpenTrain AI
• Complete project onboarding if selected