Dockerfile Data Validation Engineer
Turing • Remote, United States, Germany, Bangladesh, Brazil, Egypt, India, Kenya, Mexico, Nigeria, Pakistan, Turkey, Ghana
Education
Not stated
Type
Hourly
Listed
186d ago
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- Weekly hours
- 40 hrs/week
- Timezone overlap
- Partial overlap with US Pacific time required
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 software engineering, logical 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. About the Role:We are seeking an engineer responsible for designing, implementing, and maintaining data-validation workflows inside Docker-based build pipelines. This role involves creating and managing Dockerfile labels, metadata standards, and validation scripts that ensure datasets, schemas, and model artifacts meet quality and compliance requirements before deployment. You will work closely with data engineering, machine learning, and DevOps teams to build reliable, reproducible, and fully validated containerized data pipelines. What does day-to-day look like:
- Develop and optimize Dockerfiles with built-in data-validation steps.
- Implement LABEL metadata for dataset versions, schemas, and lineage.
- Create validation scripts (Python/Bash) for schema checks, data integrity, and quality control.
- Integrate validation steps into CI/CD pipelines and enforce fail-on-bad-data checks.
- Document standards for Dockerfile labeling, validation logic, and data governance.
Required Skills
- Experienced DevOps engineers with 4+ years of experience
- Strong experience with Docker & Dockerfiles.
- Proficiency in Python or Bash for validation scripting.
- Knowledge of data formats, schemas, and validation tools.
- Familiarity with CI/CD systems and container registries.
Nice to Have
- Previous participation in LLM research or evaluation projects.
- Experience building or testing developer tools or automation agents.
- Experience with MLOps workflows, data versioning, or Great Expectations.
- Knowledge of Kubernetes or container security tools.
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. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week)
- Employment type : Contractor assignment (no medical/paid leave)
- Duration of contract : 2-4 weeks; [expected start date is next week]
- Location : India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico, Brazil
Evaluation Process (approximately 75 mins)
- Interviews (30-60 min technical discussion in QODE)
Requirements
- Critical Thinking
- Business Analysis
- Must be eligible to work in one of: Remote, United States
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 STEM listings we've tracked, contracts in this domain typically run about 8.5 weeks. Actual length varies by project, but this gives you a realistic baseline going in.
Based on 11 extracted Turing STEM listings.
Why this role
This Dockerfile Data Validation Engineer role covers validating whether AI-generated Dockerfiles build and run correctly. The configuration errors this work catches are the kind a surface-level read of the file wouldn't reveal.
Talent pool
We're light on STEM candidates
We've matched 65 people with a STEM background against 726 STEM listings we've tracked, so most go out without one. Set up a profile and we'll consider you for a role like this one.
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Common questions
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.
Do I need to be a software engineer to work for Turing?
No, not anymore. Turing built its name matching senior engineers with Silicon Valley companies, but it has since expanded into AGI infrastructure work and now hires non-engineering domain experts, technical writers, and researchers for post-training data annotation and RLHF. A strong analytical background and excellent English matter more than coding ability.
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 asynchronous AI training work mean in practice?
No set hours, no check-ins, no meetings. You log in when you want, pick up an available task, complete it, and submit; nobody is waiting on you in real time. That's different from remote employment, where you're expected online during business hours. The tradeoff: you're competing with others for available tasks, so an empty queue means there's simply nothing to do until more work is released.
What does STEM work look like for a Dockerfile Data Validation Engineer?
Tasks here are scoped to STEM, not generic labeling. As a Dockerfile Data Validation Engineer, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to STEM) rather than following a one-size-fits-all rubric. If you don't have hands-on STEM background, this is likely not the right listing to start with.
What specific skills does this listing call for?
Critical Thinking, Business Analysis, Coding, and Bash 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 40 hours per week. 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 the United States, Germany, Bangladesh and 9 other countries?
This specific role is open only to people based in the United States, 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.