UK Based Software Engineers (COBOL) | $130-$170/hr Remote
Overview
We're seeking seasoned software engineers based in the U.K. to join a remote, project-based initiative with a leading AI research lab. In this role, you'll apply your expertise in COBOL to help generate high-quality training data for frontier AI models. This is a high-impact contract position offering a competitive hourly rate of $130–$170/hr and the chance to work alongside top-tier engineers.
What You'll Do5
- 1Develop and curate training data for cutting-edge AI systems, leveraging your COBOL skills to ensure accuracy and relevance.
- 2Collaborate closely with a team of senior engineers on research tasks, providing code reviews and technical feedback.
- 3Work on a fully remote, project basis with a full-time commitment of 40 hours per week.
- 4Participate in the vetting process by completing a resume review and a short technical assessment focused on engineering expertise.
- 5Contribute to the design of data generation pipelines and document technical processes for reproducibility.
Requirements5
- 1Proven hands-on experience with COBOL programming in professional settings.
- 2At least 5 years of full-time software engineering experience, with a track record of delivering high-quality code.
- 3Previous work experience at a major tech company (e.g., Slack, Notion, Stripe, Figma) is strongly preferred.
- 4Currently based in the United Kingdom and eligible to work remotely.
- 5Ability to dedicate 40 hours per week to a project-based engagement.
Who Should Apply
This role is ideal for experienced COBOL engineers with a background in big tech who enjoy working on challenging, project-based assignments. You should be comfortable collaborating remotely, have a strong command of software engineering fundamentals, and be excited about contributing to the next generation of AI systems.
Salary Insight
The position pays an hourly rate of $130–$170/hr, with payment terms for a remote project contract.
Application Tip
When applying, emphasize your COBOL expertise and any experience you have working on data-intensive projects. Also, prepare for the technical assessment by reviewing core software engineering concepts—your ability to think clearly under time constraints will be key.
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