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Senior Backend Engineer (Python/FastAPI) – AI Evaluation (US-based)

Turing • United States

Education

Master's

Type

Hourly

Pay Rate

$30–$65/hr

Our estimate. Turing doesn't publish a rate for this role. How we estimate

Listed

160d ago

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About this role

From the Turing listing

About Us

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 software engineering, logical 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.

Ideal Background

This role is ideal for engineers who have shipped high-impact products at fast-moving companies like Stripe, Airbnb, Cloudflare, Datadog, Coinbase, or similar high-growth engineering environments. We especially welcome graduates from programs with strong CS foundations such as University of Washington, University of Illinois Urbana-Champaign, UT Austin, University of Michigan, Purdue, and comparable institutions — though exceptional experience and skill always take precedence over pedigree.

Project Overview

As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers, alongside C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.

What Does a Typical Day Look Like?

  • Work on AI model training initiatives by curating code examples, building solutions, and correcting code across both Python and JavaScript (React, Node.js), with additional work in C/C++, Java, Rust, and Go.
  • Evaluate and refine AI-generated code across backend and frontend contexts to ensure that it is efficient, scalable, and reliable.
  • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
  • Build agents that can verify the quality of the code and identify error patterns across full-stack applications.
  • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them.
  • Design verification mechanisms that can automatically verify a solution to a software engineering task.

Required Skills

  • Several years of software engineering experience (3 years or more)
  • Strong expertise in building full-stack applications using Python and JavaScript (React, Node.js), with the ability to work across backend and frontend codebases.
  • Experience deploying scalable, production-grade software using modern languages and tools.
  • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
  • Excellent oral and written communication skills for clear, structured evaluation rationales.

Engagement Details

  • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week
  • Type: Contractor (no medical/paid leave)
  • Duration: 1 month (potential extensions based on performance and fit)
  • Location: Candidates must be based in the United States

Evaluation Process

  • The application process takes 15–30 minutes.
  • Completion of an AI video interview is required.

Requirements

  • Must be eligible to work in United States
  • Fluent proficiency in English (Written & Verbal)
  • Reliable high-speed internet connection
  • Master's's degree or equivalent professional experience
  • Demonstrated expertise in STEM

How long hiring takes

Across the AI training platforms we refer candidates to, the median gap between referral and hire is about 30 days. It varies by platform and role, so treat it as a rough guide for this one.

Within 2 weeks
~25%
Within 6 weeks
~60%
Within 3 months
~80%

Interview Prep

This listing calls for this tool directly. Prep for the technical screen:

What to Expect

Looking at Turing STEM listings we've tracked, contracts in this domain typically run about 8.5 weeks. Actual length varies by project, but this gives you a realistic baseline going in.

Based on 11 extracted Turing STEM listings.

Why this role

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 speci

Talent pool

We're light on STEM candidates

We've matched 65 people with a STEM background against 726 STEM listings we've tracked, so most go out without one. Set up a profile and we'll consider you for a role like this one.

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Skills and categories

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Common questions

Do I need to be a software engineer to work for Turing?

No, not anymore. Turing built its name matching senior engineers with Silicon Valley companies, but it has since expanded into AGI infrastructure work and now hires non-engineering domain experts, technical writers, and researchers for post-training data annotation and RLHF. A strong analytical background and excellent English matter more than coding ability.

How does Turing's talent matching work?

Turing calls it the Intelligent Talent Cloud. You build a profile and go through vetting (automated tests, an AI-powered interview, practical skill assessments), and once vetted, Turing's algorithm surfaces your profile directly to partner companies like Fortune 500s and top AI labs. You don't browse listings or bid on work; matches come to you.

What does asynchronous AI training work mean in practice?

No set hours, no check-ins, no meetings. You log in when you want, pick up an available task, complete it, and submit; nobody is waiting on you in real time. That's different from remote employment, where you're expected online during business hours. The tradeoff: you're competing with others for available tasks, so an empty queue means there's simply nothing to do until more work is released.

What does STEM work look like for a Senior Backend Engineer (Python/FastAPI) – AI Evaluation (US-based)?

Tasks here are scoped to STEM, not generic labeling. As a Senior Backend Engineer (Python/FastAPI) – AI Evaluation (US-based), expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to STEM) rather than following a one-size-fits-all rubric. If you don't have hands-on STEM background, this is likely not the right listing to start with.

What specific skills does this listing call for?

Coding, FastAPI, and Python are named directly in the listing. If you don't have hands-on experience with these, expect the screening process to test for them directly rather than accepting adjacent experience as a substitute.

How much does this specific role pay?

The listing doesn't state a rate. The $30–$65/hr shown here is our estimate from the role type and location (see /pay-methodology), so treat it as a rough guide and confirm the actual rate with the platform before committing time.

What happens when I click Apply on this listing?

You'll be taken to Turing's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.

Do I need a Master's to qualify?

This role lists a master's degree as a requirement. In practice, the domain assessment is the real gate. If you can pass it, the degree is usually secondary. However, some platforms verify credentials formally, so list your actual qualifications accurately on your profile.

Can I apply from outside the United States?

This specific role is open only to people based in the United States. If you are somewhere else, applying is unlikely to lead to an offer even if you pass the assessment, because the restriction is usually about where the work can legally be contracted rather than your skills. Read the full description for any tax-residency or right-to-work caveats before you apply.