Competitive Data Scientist

OpenTrain AI, Inc.; United States; Remote; USD 83,000 - 165,000; Part time

Benefits offered by this job

Remote contract

Flexible schedule

Job summary

OpenTrain AI, Inc. is seeking a remote contract-based data science task designer and tester. You will create challenging data science tasks, build reproducible environments, and define robust verification criteria to test coding agents.

The role emphasizes Python-based implementation, testing, and clear documentation, with flexible hours and a remote setup. Ideal candidates have data science, ML experience, and competition-grade problem-solving skills, plus a track record with platforms like

Qualifications

• Proficient Python programming for implementing, testing, and verifying solutions
• Strong testing, debugging and verification abilities
• Good understanding of data science and ML fundamentals
• Fluent English communication and technical writing skills

Responsibilities

• Create and validate challenging data science tasks to assess coding agents.
• Build reproducible environments with data, dependencies, and execution steps.
• Implement verified reference solutions showing task expectations.
• Create tests and evaluation criteria to separate correct from flawed approaches.
• Run coding agents against tasks, investigate failures, and improve task designs.
• Find implementation errors, data leakage, and other issues affecting correctness.
• Document task requirements, solution reasoning, and verification steps clearly.

Skills

Python

Testing

Debugging

Verification

Data science

Machine learning

Quantitative modeling

English proficiency

Job description

Evaluate challenging data science tasks, build reference solutions, and test coding agents remotely for about 15 hours per week. Compensation is $60 to $120 per hour equivalent, paid per task that meets the project specifications.

$60–$120/hr

equivalent, paid per accepted task

Compensation

Contract, part-time

Engagement

Remote

Location

Countries

• Algeria
• Argentina
• Austria
• Bahrain
• Bangladesh
• Belgium
• Brazil
• Canada
• Chile
• Colombia
• Denmark
• Egypt
• France
• Germany
• Ghana
• Greece
• India
• Indonesia
• Italy
• Japan
• Jordan
• Kazakhstan
• Kenya
• Kuwait
• Kyrgyzstan
• Lebanon
• Malaysia
• Mexico
• Morocco
• Netherlands
• Nigeria
• Oman
• Pakistan
• Palestine
• Peru
• Philippines
• Portugal
• Qatar
• Saudi Arabia
• Singapore
• South Africa
• Spain
• Sri Lanka
• Switzerland
• Taiwan
• Thailand
• Tunisia
• United Arab Emirates
• United Kingdom
• United States
• Uzbekistan
• Vietnam

The work

You will create and validate challenging data science tasks used to assess coding agents and data science skills. The work turns competition-grade reasoning into reproducible environments, reference solutions, reliable tests, and clear verification rules.

• Build reproducible environments with the required data, dependencies, and execution steps.
• Implement verified reference solutions showing how each task should be completed.
• Create tests and evaluation criteria that separate correct solutions from incomplete or flawed approaches.
• Run coding agents against tasks, investigate failures, and improve task designs based on their behavior.
• Find implementation errors, flawed assumptions, data leakage, and other issues that affect correctness.
• Document task requirements, solution reasoning, and verification steps clearly.

What it pays and takes

This is a remote contractor role with a flexible schedule. The structured experience level is entry level, while the work requires practical data science, programming, testing, debugging, and solution-verification skills.

• Pay: $60 to $120 per hour equivalent, paid per task that meets the project specifications.
• Time: Less than 20 hours per week, with an expected commitment of about 15 hours per week.
• Schedule: Choose the hours and days you work.
• Location: Open to candidates in Algeria, Argentina, Austria, Bahrain, Bangladesh, Belgium, Brazil, Canada, Chile, Colombia, Denmark, Egypt, France, Germany, Ghana, Greece, India, Indonesia, Italy, Japan, Jordan, Kazakhstan, Kenya, Kuwait, Kyrgyzstan, Lebanon, Malaysia, Mexico, Morocco, the Netherlands, Nigeria, Oman, Pakistan, Palestinian Territories, Peru, the Philippines, Portugal, Qatar, Saudi Arabia, Singapore, South Africa, Spain, Sri Lanka, Switzerland, Taiwan, Thailand, Tunisia, the United Arab Emirates, the United Kingdom, the United States, Uzbekistan, and Vietnam.
• Language: Professional fluency in English.
• Required background: Experience in data science, machine learning, quantitative modeling, or research competitions.
• Competition experience with platforms such as Kaggle, DrivenData, Zindi, AIcrowd, Numerai, DataSource.ai, or CodaLab/Codabench.
• Strong problem-solving skills and a clear understanding of the methods used in your solutions.
• Programming ability to implement, test, and verify solutions independently.
• Strong Python skills, including testing, debugging, and working with unfamiliar code.
• Helpful experience includes published competition solutions, a strong competitive data science profile, notable rankings, applied mathematics, machine learning engineering, or quantitative research paired with hands‑on implementation and verification skills.

About AI training work

OpenTrain is a platform where people find AI-training and data-labeling projects, build a profile, and apply. AI training work uses human-created examples, reviews, and evaluations to help artificial intelligence systems produce more useful and reliable results.

Requirements

• Experience: Entry level