Research Engineer
Role Overview
This is a mid to senior-level Research Engineer role where you will work directly with customer researchers and engineers to translate model goals into high-quality datasets, RL environments, and evaluations. You will be responsible for producing data that meets strict standards for correctness and diversity, focusing on areas like coding agents, RL environments, or multimodal reasoning. This hands-on technical leadership position impacts state-of-the-art AI models for leading labs and enterprises.
Perks & Benefits
This is a fully remote role that can be performed anywhere in Colombia, offering flexibility in work location. While time zone expectations are not specified, typical remote tech roles may involve some coordination with global teams. The role provides opportunities for career growth through hands-on research and technical leadership in a cutting-edge AI environment, likely with a collaborative and innovative culture.
Full Job Description
About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.comThis is a remote role and can be performed anywhere in Colombia. The Role We are looking for a Research Engineer to help deliver frontier-quality datasets, RL environments, and evaluations that improve state-of-the-art models for leading AI labs and enterprise clients. This is a hands-on, research-facing technical leadership role. You will work directly with customer researchers/engineers to translate their model and post-training goals into concrete data and environment specifications, and drive the production of data that meets extremely high standards for correctness, realism, diversity, difficulty, and measurable model lift. This role is designed for candidates with roughly 4 to 5 years of experience building and improving deep learning systems, especially where strong results depend on data quality, data curation, denoising, synthetic data generation, and rigorous evaluation. You’ll operate in one or more of the following capability areas:
Coding and software engineering agents (repositories, unit tests, debugging, tool use, code reviews, long-horizon workflows) RL environments and verifier-based training (tasks, rewards/verifiers, trajectories, evaluation harnesses) Multimodal data and reasoning (text + images + documents + tables/charts; optional audio/video) Please mention the word **ENDORSES** and tag RODguMTk4Ljk5LjE0Mw== when applying to show you read the job post completely (#RODguMTk4Ljk5LjE0Mw==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
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