WFH.teamOpen app$125k-$250k
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flexible
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What this posting tells you
Global, fully remote contractor role for about 15 hours per week, with flexible hours and days. The listing states pay of $60–$120 per hour; annual salary figures are not specified. Work involves building reproducible data-science tasks, reference solutions, tests, and evaluation criteria, and investigating coding-agent failures.
Backend, Customer success, Data, Medical billing, QA and testing
Eligible countries are not stated.
Global
Unspecified · Contractor
- Eligible hiring countries are not stated
Backend hiring on WFH.team
This role's listed pay is near the median among 197 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.
Explore the remote job marketCompetitive Data Scientist (Kaggle) at micro1
Role Title: Competitive Data Scientist (Kaggle)
Pay: $60–$120/hour
Location: Global, fully remote
Job Type: Contractor (~15 hours per week)
Schedule: Flexible-you choose the hours and days you work, including weekends if desired
We're looking for data scientists, machine learning practitioners, and applied mathematics experts with competitve Data Science experience. (Kaggle, DrivenData, etc.)
You’ll draw on your competition experience, mathematical reasoning, and programming skills to create tasks that require more than a plausible answer. Each task should have a reproducible environment, a verified reference solution, and reliable checks for successful completion.
What you’ll do
Build reproducible environments, prepare relevant data and dependencies, and implement reference solutions.
Develop tests and evaluation criteria that reliably distinguish correct solutions from incomplete or flawed approaches.
Run coding agents against tasks, investigate their failures, and refine the tasks based on observed behavior.
Identify implementation errors, flawed assumptions, data leakage, and other issues that affect correctness.
Document task requirements, solution reasoning, and verification steps clearly.
What We’re Looking For
Demonstrated experience in data science, ML, quantitative modeling, or relevant research competitions. (Kaggle, DrivenData, etc.)
Strong problem-solving ability and a clear understanding of the methods you use.
Practical programming ability sufficient to implement and verify your own solutions.
Relevant competition platforms include Kaggle, DrivenData, Zindi, AIcrowd, Numerai, DataSource.ai, and CodaLab/Codabench.
Huge Pluses
Strong coding experience, particularly in Python, including testing, debugging, and working with unfamiliar code
Working remotely at micro1
micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.
- Headquarters
- San Francisco Bay Area, California, United States
- Founded
- 2022
Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.
Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.