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Dockerfile Data Validation Engineer

Turing · Remote

Pay
See listing
Where
Worldwide
Degree
See who gets hired
Posted
316d ago
Checked
today

An older role: first posted 316d ago, and Turing still listed it when we checked today. Newer roles tend to fill faster. See the jobs hiring now.

Before you applyHow to pass the Turing assessment and interviewsMost people who don't get in fail the screening, not the CV. Five minutes here first.

What the work is

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.

Who gets hired

  • 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)

Pay

See listing, fully remote. How payouts and tax work.

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