Data Scientist/Analyst
Turing — Remote - India
₹3–4 LPA (HireSetu estimate) · Entry level · Freshers eligible · Full-time · remote
HireSetu listing reference 40d4bb — confirm requirements below, then apply on the employer site.
Quick answer: The schedule is the real gate here. Turing wants 20, 30 or 40 hours a week with four of them overlapping Pacific time, on a one-month contractor contract that carries no paid leave. The work is evaluating and improving AI model outputs, using Python plus clear written reasoning.
From Turing's job posting
Role Overview
We are actively seeking talented Data Scientists & Analysts proficient in Python to join our ambitious team dedicated to pushing the frontiers of AI technology. This opportunity is tailored for professionals who thrive on developing innovative solutions and aspire to be at the forefront of AI advancements. You will work with companies in the US looking to develop cutting-edge commercial and research AI solutions.
You will write effective Python code to tackle complex issues but also use your business sense and analytical abilities to glean valuable insights from public databases, fix bugs in the code, and create thorough documentation. The ideal candidate will communicate clearly with researchers and help the organization in realizing its objectives, and clearly express the reasoning and logic when writing code in Jupyter notebooks, or other suitable mediums. )
What does day-to-day look like
Design, develop, and maintain efficient, high-quality code to train and optimize AI models.
Conduct evaluations (Evals) to benchmark model performance and analyze results for continuous improvement.
Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria.
Develop comprehensive explanations and rationales for evaluations, showcasing excellent reasoning and technical expertise.
Lead efforts in Supervised Fine-Tuning (SFT), including creating and maintaining high-quality, task-specific datasets.
Collaborate with researchers and annotators to execute Reinforcement Learning with Human Feedback (RLHF) and refine reward models.
Design innovative evaluation strategies and processes to improve the model's alignment with user needs and ethical guidelines.
Create and refine optimal responses to improve AI performance, emphasizing clarity, relevance, and technical accuracy.
Conduct thorough peer reviews of code and documentation, providing constructive feedback and identifying areas for improvement.
Collaborate with cross-functional teams to improve model performance and contribute to product enhancements.
Continuously explore and integrate new tools, techniques, and methodologies to enhance AI training processes.
Required Skills
Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
A desire to have a significant impact on the field of artificial intelligence
Strong data analytic abilities and business sense are required to draw the appropriate conclusions from the dataset, respond to those conclusions, and clearly convey the key findings
Excellent problem-solving and analytical skills
Excellent communication abilities to work with stakeholders and researchers successfully
Fluent in conversational and written English communication skills
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)
Engagement type : Contractor assignment (no medical/paid leave)
Duration of contract : 1 month; [expected start date is next week]
Evaluation Process (approximately 75 mins)
Two rounds of interviews (60 min technical + 15 min cultural &, offer discussion)
The employer’s company overview, benefits and equal-opportunity statement are left out here; they are on the original posting.
Text from Turing's official job posting, formatted by HireSetu. The employer's own page is the final word on details.
HireSetu's note
The hours shape the job
The minimum is four hours a day and 20 hours a week, with a four-hour overlap with Pacific time. From India that overlap falls in your late evening or overnight, depending on the window the team picks, so a 20-hour week can still mean logging in at midnight.
Three tiers are on offer: 20, 30 or 40 hours. Pick the one you can actually hold for a month alongside whatever else you have running.
Judging model answers and writing down why
The title reads Data Scientist/Analyst, and the day leans towards evaluation work. You rank model responses to user queries, write the reasoning behind each ranking, build datasets for supervised fine-tuning and join RLHF work with researchers and annotators. Peer review of code and documentation sits inside that too.
Python and Jupyter are the medium, but a lot of the output is prose: a rationale, a corrected response, a written benchmark result. Anyone picturing dashboards and pipelines is looking at a different job.
Fits someone between jobs
The bar is a degree in engineering or computer science, solid Python, strong written English, and the ability to pull a conclusion out of a dataset and explain it. Fresh graduates are in scope.
A one-month contractor stint with hourly commitments suits someone studying, freelancing or waiting on other offers. What you carry away is AI training and evaluation work on your CV, which is a useful line if applied AI is where you're heading.
Terms to settle before signing
Ask whether the contract continues past the first month, which hour tier you'll be on, and when exactly the Pacific overlap falls in your day. Payment terms matter here since you'd be contracting, with no paid leave and no medical cover, so a day off costs you.
The listing flags two interview rounds of roughly 75 minutes. Block that time out before you apply.
Drafted with AI from Turing's job posting and checked by Prashanth Jakkula before publishing. See our Editorial Policy.
How to apply
- Open Turing's careers site with the Apply button.
- Follow the application steps on the site and upload your resume.
- Keep the confirmation email or application number for follow-up.
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