This role involves hands-on analytical work with production-like datasets, metrics, and ML outputs to help evaluate, diagnose, and improve the performance of advanced AI systems.

The ideal candidate is comfortable working at the intersection of data analysis and machine learning, with strong analytical rigor and the ability to work with real datasets and ML evaluation workflows.

Perks of Freelancing With Turing

• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.

Duration of Contract: 3 months (adjustable based on engagement).

• Analyze structured and unstructured datasets generated from ML training, inference, and evaluation pipelines.
• Define, compute, and validate metrics used to evaluate model performance and behavior.
• Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmark tasks.
• Write and run Python and SQL code to analyze data, create reports, and support evaluation workflows.
• Validate data quality, consistency, and correctness across datasets and experiments.
• Create clear, well-documented analytical artifacts and reproducible analysis workflows.
• Collaborate with ML engineers and researchers to design challenging, real-world evaluation scenarios for MLE Bench.

• Minimum 3+ years of experience as a Data Analyst or Analytics-focused Engineer.

• Technical Interview with live coding challege (60 mins).

Work arrangement: Fully remote

Applicant eligibility: 10 eligible countries

Engagement Type: Contractor assignment (no medical/paid leave).