SWE Bench – Data Engineer/Data Scientist

HumanitApp; California; Teletrabalho; USD 83 000 - 165 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Fully remote environment

Cutting-edge AI projects with leading

Resumo da oferta

Turing is seeking experienced Software Engineers (SWE Bench – Data Engineer / Data Science) to contribute to benchmark-driven evaluation projects on real-world data pipelines and workflows. Work with production-like datasets, data pipelines, and data science tasks to evaluate and improve AI system performance.

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

Qualificações

• Minimum 3+ years of 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.

Responsabilidades

• Work with structured and unstructured datasets to support SWE Bench-style evaluation tasks.
• Design, build, and validate data workflows 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.
• Code reviews to ensure high standards of code quality and maintainability.
• Collaborate with researchers and engineers to design challenging, real-world data tasks for AI systems.

Conhecimentos

Python

Data Eng

Data Science

ML Fundamentals

Problem Solving

Ferramentas

SQL

Descrição da oferta de emprego

Future projects, not immediate vacancies. Check each network's country and experience requirements.

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

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.

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

Perks of Freelancing With Turing

Work in a fully remote environment.

Opportunity to work on cutting‑edge AI projects with leading LLM companies.

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)

Evaluation Process

Technical Interview with live coding challege (60 mins)

Source: Turing official referral page, checked 2026-11-12. An application entry was present; hiring capacity and final terms remain subject to Turing.

Compensation context

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Remote · Country eligibility: check the official listing · Work type not specified

Remote · Country eligibility: check the official listing · Work type not specified

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India, Pakistan, Nigeria, Egypt, Ghana, Bangladesh, Turkey, Mexico, LATAM · Work type not specified