PitchMeAI Jobs
Turing

Research Engineer

Turing · Brazil

Posted about 3 months ago

or apply directly on Turing's site. We never take the application ourselves.

Is this posting real?

This role has been open
81 days
Turing's roles stay open a median of 81 days
Reposted
No
Salary listed
No
50% of Turing's roles list one
Ghost-job risk at Turing
high
24 stale, 2 reposted of 24 open
Hiring momentum
40 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from Turing's own greenhouse board since 2026-08-03. Full hiring picture for Turing.

About this role

As a Research Engineer at Turing, you will work closely with a frontier AI lab client to deliver high-quality datasets and reinforcement learning environments that enhance state-of-the-art models. Your responsibilities will include translating research goals into technical specifications, auditing data for quality, and designing robust validation systems. You will also collaborate with production teams and directly communicate with clients to ensure that the outputs meet high standards of correctness and effectiveness.

Our read on this posting2.4out of 5
benefits
1/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Turing as an employer.

What you need

  • 4–5 years of experience building or improving deep learning systems where data quality mattered materially
  • Strong intuition for the data ingredients that drive model improvements
  • Ability to communicate clearly with researchers and engineers
  • Demonstrated ability to be extremely detail-oriented in diagnosing subtle data quality issues
  • Solid programming ability with a bias for shipping: Python proficiency required; comfort with SQL/structured data workflows strongly preferred; proficiency in a major language (C++, Java, Go, Rust, JS/TS) is a plus
  • Comfort designing quality systems: rubrics, validation scripts, gold sets, sampling strategies, statistical checks, slice-based evaluation, human-in-the-loop review loops grounded in measurable criteria

Nice to have

  • RL or post-training experience (any of: RLHF/RLAIF, verifier training, reward modeling, RL fine-tuning, environment design)
  • Experience with agentic evaluation (tool use, multi-step workflows, long-horizon tasks, trajectory analysis)
  • Multimodal expertise (document understanding, charts, diagrams, OCR, UI/vision grounding; audio/video optional)
  • STEM depth (math/physics/engineering) with an eye for verifiability and rigorous correctness
  • Modern embodied AI / VLM-driven agent experience (vision-language(-action) models, interaction datasets, embodied evals, long-horizon grounding, tool/sensor/action interfaces)

Worth weighing

  • This is a remote role, which may require self-discipline and effective communication skills in a distributed team environment.
  • The role involves bespoke work tailored to a single client, which may limit exposure to a variety of projects.
  • Direct experience with a frontier AI lab is not required, which may appeal to candidates from diverse backgrounds but could also mean less familiarity with specific industry standards.
  • The position requires a strong focus on detail and quality, which may lead to high-pressure situations when meeting client expectations.

Summarised from Turing's posting. Read the full original.

Listed by Turing on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

More roles at Turing

All 24 open roles at Turing →