SWE Bench – Data Engineer/Data Scientist
Turing • Remote, Canada, France, Germany, Bangladesh, Brazil, Egypt, India, Kenya, Mexico, Nigeria, Pakistan, Turkey, Ghana
Education
Not stated
Type
Hourly
Listed
186d ago
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Apply Now → ⚡ Boost your chances - Optimize your resume with Rezi.aiWhat We Know About This Role
- Interview
- Required i As stated in the listing: “Duration of Contract: 3 months (adjustable based on engagement)”
- Weekly hours
- 20 hrs/week
- Timezone overlap
- Partial overlap with US Pacific time required
- Contract length
- 12 weeks
About this role
From the Turing listing
About Turing
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L
Role Overview
We are looking for experienced Software Engineers (SWE Bench – Data Engineer / Data Science) to contribute to benchmark-driven evaluation projects focused on real-world data engineering and data science workflows. This role involves hands-on work with production-like datasets, data pipelines, and data science tasks to help evaluate and improve the performance of advanced AI systems. The ideal candidate has strong foundations in data engineering and data science, with the ability to work across data preparation, analysis, and model-related workflows in real-world codebases.
What does day-to-day life look like?
- Work with structured and unstructured datasets to support SWE Bench-style evaluation tasks.
- Design, build, and validate data pipelines used in benchmarking and evaluation workflows.
- Perform data processing, analysis, feature preparation, and validation for data science use cases.
- Write, run, and modify Python code to process data and support experiments locally.
- Evaluate data quality, transformations, and outputs for correctness and reproducibility.
- Create clean, well-documented, and reusable data workflows suitable for benchmarking.
- Participate in code reviews to ensure high standards of code quality and maintainability.
- Collaborate with researchers and engineers to design challenging, real-world data engineering and data science tasks for AI systems.
Requirements
- Minimum 3+ years of overall experience as a Data Engineer, Data Scientist, or Software Engineer (data-focused).
- Strong proficiency in Python for data engineering and data science workflows.
- Demonstrable experience with data processing, analysis, and model-related workflows.
- Solid understanding of machine learning and data science fundamentals.
- Experience working with structured and unstructured data.
- Ability to understand, navigate, and modify complex, real-world codebases.
- Experience writing readable, reusable, maintainable, and well-documented code.
- Strong problem-solving skills, including experience with algorithmic or data-intensive problems.
- Excellent spoken and written English communication skills.
Perks of Freelancing With Turing
- Work in a fully remote environment.
- Opportunity to work on cutting-edge AI projects with leading LLM companies.
Offer Details
- Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST.
- Engagement Type: Contractor assignment (no medical/paid leave)
- Duration of Contract: 3 months (adjustable based on engagement)
- Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico
Evaluation Process
- Technical Interview with live coding challege (60 mins)
How long hiring takes
Across the AI training platforms we refer candidates to, the median gap between referral and hire is about 30 days. It varies by platform and role, so treat it as a rough guide for this one.
Interview Prep
This listing calls for this tool directly. Prep for the technical screen:
What to Expect
Looking at Turing Software Engineering listings we've tracked, contracts in this domain typically run about 8.4 weeks. Actual length varies by project, but this gives you a realistic baseline going in. This listing's 12-week contract is longer than the typical 8.4-week Turing Software Engineering engagement.
Based on 28 extracted Turing Software Engineering listings.
Why this role
This SWE Bench role is for data engineers and data scientists to build and evaluate software engineering benchmark tasks that test AI models on real data pipeline and analysis problems. It pairs the two disciplines because a good data pipeline task needs both engineering rigor and analytical judgment to grade well.
Skills and categories
Explore other opportunities in related specializations:
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Common questions
How does Turing's talent matching work?
Turing calls it the Intelligent Talent Cloud. You build a profile and go through vetting (automated tests, an AI-powered interview, practical skill assessments), and once vetted, Turing's algorithm surfaces your profile directly to partner companies like Fortune 500s and top AI labs. You don't browse listings or bid on work; matches come to you.
How and when does Turing pay contractors?
Monthly, in USD, via Deel, Payoneer, or direct bank transfer. You're engaged as an independent contractor responsible for your own local taxes. Plan your cash flow around a monthly cycle if you're used to weekly payouts elsewhere.
What does task-based AI training work look like?
Practical, hands-on data work: recording short videos, categorizing images, rating text responses, or analyzing data. Tasks are designed to be short and distinct, typically 5 to 60 minutes each.
What does Software Engineering work look like for a SWE Bench – Data Engineer/Data Scientist?
Tasks here are scoped to Software Engineering, not generic labeling. As a SWE Bench – Data Engineer/Data Scientist, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Software Engineering) rather than following a one-size-fits-all rubric. If you don't have hands-on Software Engineering background, this is likely not the right listing to start with.
What specific skills does this listing call for?
Data Engineering, Data Science, Coding, and Python are named directly in the listing. If you don't have hands-on experience with these, expect the screening process to test for them directly rather than accepting adjacent experience as a substitute.
How many hours per week does this role require?
Based on the listing, this role is scoped at about 20 hours per week, over roughly a 12-week contract. Treat this as a real commitment expectation, not a loose estimate.
How much does this specific role pay?
The listing doesn't state a rate. The $12–$30/hr shown here is our estimate from the role type and location (see /pay-methodology), so treat it as a rough guide and confirm the actual rate with the platform before committing time.
What happens when I click Apply on this listing?
You'll be taken to Turing's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.
Can I apply from outside Canada, France, Germany and 10 other countries?
This specific role is open only to people based in Canada, France, Germany, Bangladesh, Brazil, Egypt, India, Kenya, Mexico, Nigeria, Pakistan, Turkey, and Ghana. If you are somewhere else, applying is unlikely to lead to an offer even if you pass the assessment, because the restriction is usually about where the work can legally be contracted rather than your skills. Read the full description for any tax-residency or right-to-work caveats before you apply, since they can differ by country.
Is there an interview?
Yes. Technical Interview with live coding challege (60 mins)