Remote Data Analyst - 60736

Turing; Pune District; On-site; INR 700,000 - 1,000,000; Part time

Benefits offered by this job

Fully remote environment

Cutting-edge AI projects

Flexible hours

Job summary

Turing is looking for experienced Data Analysts (MLE Bench) located in India, Maharashtra, Pune District, to contribute to benchmark-driven evaluation projects focusing on real-world machine learning systems. The role involves hands-on analytical work with production-like datasets and metrics. Candidates should have at least 3 years of experience, strong Python and SQL skills, and excellent English communication abilities. The position allows for fully remote work with commitments of at least 20 hours per week.

Qualifications

• 3+ years of experience as a Data Analyst or Analytics-focused Engineer.
• Strong proficiency in Python for data analysis.
• Solid experience with SQL and relational datasets.
• Experience analyzing ML outputs and evaluation metrics.

Responsibilities

• Analyze structured and unstructured datasets from ML pipelines.
• Define, compute, and validate metrics for model evaluation.
• Investigate data distributions and model outputs.
• Write Python and SQL code to analyze data and support workflows.
• Validate data quality and consistency across datasets.

Skills

Python

SQL

Data analysis

Statistics

Analytical reasoning

Data quality assurance

Communication skills

Job description

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 Data Analysts (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. 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.

What does day-to-day life look like?

• 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.

Requirements:

• Minimum 3+ years of experience as a Data Analyst or Analytics-focused Engineer.
• Strong proficiency in Python for data analysis.
• Solid experience with SQL and relational datasets.
• Experience analyzing ML outputs and evaluation metrics.
• Strong understanding of statistics and analytical reasoning.
• Ability to work with large, complex datasets and draw reliable insights.
• Experience writing clean, readable, and well‑documented analytical code.
• 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.
• 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)