Company Description
MillionLogics, a trusted Oracle Partner, is a global IT solutions provider merging innovation, expertise, and strategic insight. With headquarters in London, UK, and a development hub in Hyderabad, India, MillionLogics is dedicated to delivering scalable, future-ready solutions. Specialising in Data & AI, Cloud solutions, IT consulting, and enterprise application optimisation, MillionLogics empowers organisations to evolve and drive digital transformation. Backed by over 40 technology experts, the company ensures tailored, results-driven solutions for clients worldwide. For more details, visit: MillionLogics Services.
Role Description
We’re a coding-focused team at Turing that serves as a research partner for a Frontier AI Lab. Our role is to build coding tasks, evaluations, datasets, and tooling that help train and improve large language models (LLMs).
You’ll write and debug production-quality code, design rigorous evaluations, and build reproducible workflows that generate clean, high-signal data for model training. Attention to detail matters deeply here-small mistakes can cascade into misleading results, so precision and thoroughness are essential. You’ll also collaborate closely with engineers, researchers, and quality owners to align on standards, review work, and continuously raise the quality bar.
If you enjoy solving unusual technical problems, investigating subtle model failures, and working in developer-like environments where correctness, reproducibility, and collaboration matter, this role will keep you very entertained.
Preferred Background
* Bachelor’s degree in a technical field with 6+ years of experience
* Master’s degree in a technical field with 4+ years of experience
* PhD in a technical field with 2+ years of experience
Compensation: $2000 per month (40-hour commitment)
What does your day-to-day look like?
* Write, review, and debug code across multiple languages
* Design tasks and evaluation scenarios for coding, reasoning, and debugging
* Investigate LLM outputs and identify hallucinations, regressions, and failure modes
* Build reproducible dev environments using Docker + automation tools
* Develop scripts, pipelines, and tools for data generation, scoring, and validation
* Produce structured annotations, judgments, and high-quality datasets
* Run systematic evaluations that help improve model reliability and reasoning
Required Skills?
* Experience using LLM coding tools (Cursor, Copilot, CodeWhisperer). Strong hands-on coding experience (professional or research-based) in one or more of:
* Python, JavaScript / Node.js, TypeScript
* (Additional languages like Go, Java, C++, C#, Rust, SQL, R, Dart, etc. are a plus)
* Solid experience with Linux + Bash, scripting, and automation
* Strong with Docker, reproducible environments, and dev containers
* Advanced Git skills (branching, diffs, patches, conflict resolution)
* Solid understanding of testing and QA (unit, integration, negative, edge-case focused)
* Ability to reliably overlap with 8 am–12 pm PT
Nice-to-Haves?
* Experience using LLM coding tools (Cursor, Copilot, CodeWhisperer)
* Experience with dataset creation, annotation, evaluation, or ML pipelines
* Familiarity with benchmarks like SWE Bench or Terminal Bench
* Background in QA automation, DevOps, ML systems, or data engineering
Offer Details?
* Commitments Required: 8 hours per day with an overlap of 4 hours with PST.
* Engagement type: Contractor assignment (no medical/paid leave)
* Duration of contract : 3 months; [expected start date is next week]
* Location: West Africa, LATAM, North America, South America.
Evolutions process
Two rounds of interviews (90 min technical round and a 15 min cultural & offer discussion)
How to apply? Please send us your updated cv to CV@MILLIONLOGICS.COM with JOB ID: 57081 as your email subject.