Research Engineer
About This Role
About Turing
Based in San Francisco, California, Turing is the worldâs 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 worldâs top innovators, Turingâs leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com
This 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. Youâll 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)
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Position Details
- Job Title: Research Engineer
- Company / Organisation: Turing
- Location: Worldwide / Remote
- Employment Type: Full-time
- Field / Industry: Data Science & Analytics
- Work Arrangement: Remote — open to candidates worldwide
About This Opportunity
This full-time opportunity at Turing is an excellent opening for experienced professionals in the field of data science and analytics. The role is structured around a fully remote setup — offering you the freedom to work from any location in the world and is designed for candidates who are ready to make a meaningful contribution from the moment they join.
As a remote-first position, this role welcomes qualified candidates from across the globe. You will be expected to manage your schedule independently, communicate proactively, and deliver results consistently — hallmarks of a high-performing remote professional.
Whether you are an established practitioner in data science and analytics or a highly skilled professional looking for your next challenge, this Research Engineer role offers the platform to apply your expertise in a real-world, results-oriented environment. Turing is looking for a candidate who can hit the ground running and add genuine value to the team.
Who Should Apply
This role is ideal for candidates who have a solid background in data science and analytics and a demonstrable track record of delivering high-quality results. You should possess quantitative reasoning, statistical thinking, and the ability to transform raw data into actionable insights. Experience working with data analysis frameworks, visualisation platforms, and advanced statistical or machine learning tools will be an advantage, though a commitment to continuous learning and professional development is equally valued.
Beyond technical or domain expertise, Turing is looking for someone who communicates clearly, collaborates effectively with colleagues and stakeholders, and takes ownership of their work from start to finish. If you thrive in a professional environment and are passionate about the opportunity to turn complex datasets into strategic insights that drive smarter business decisions, we encourage you to apply.
Key Competencies for This Role
Successful candidates for the Research Engineer position at Turing will typically demonstrate the following core competencies:
- Domain expertise — a strong foundation of knowledge and hands-on experience in data science and analytics
- Problem-solving ability — the capacity to identify challenges, think critically, and implement practical solutions efficiently
- Communication skills — clear and professional communication with colleagues, stakeholders, and partners at all levels
- Self-management — strong time management and the ability to prioritise a varied workload while meeting deadlines
- Team collaboration — a collaborative and supportive approach to working alongside colleagues across departments or locations
- Adaptability — the ability to respond positively to change and thrive in a dynamic, evolving work environment
How to Apply
To apply for this Research Engineer position at Turing, click the "Apply Now" button on this page. You will be taken directly to the official application page where you can complete and submit your application.
Before applying, please ensure that your CV or résumé is fully up to date and clearly highlights your experience and accomplishments in data science and analytics. If a cover letter is included or requested, tailor it specifically to this role and explain how your background, skills, and goals align with what Turing is looking for in a Research Engineer.
All applications for this role are processed directly by Turing. Career Nest facilitates the job discovery process and does not pre-screen or forward applications on behalf of employers. There are no fees for job seekers at any stage of the application process.
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