Research Engineer – Code Generation, Model Evaluation

Job not on LinkedIn

🔥 16 hours ago

🗽 New York – Remote

🗽 New York – Remote

💵 $50 - $100 / hour

⏱ Part Time

🟡 Mid-level

🟠 Senior

📚 Research Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

24-MAG

WebsiteLinkedInAll Job Openings

2 - 10 employees

🤝 B2B

💼 Consulting

B2B • Consulting

24-MAG is a commercial strategy and execution firm that helps B2B organizations design and implement systems, workflows, and operating rhythms for sales, client management, and cross-functional projects. They focus on transforming scattered processes into aligned, measurable, and scalable commercial functions—covering pipeline structure, account management frameworks, and operational discipline for teams seeking efficient, intentional growth.

📋 Description

• Analyse, debug, and resolve technical issues across diverse software codebases • Investigate bugs, implementation failures, incorrect behaviour, and edge cases • Apply algorithmic reasoning and data-structure knowledge to complex coding problems • Evaluate solution paths and select appropriate technical approaches • Design and implement new features and technical enhancements • Refactor codebases to improve maintainability, clarity, and adaptability • Optimise code for performance, efficiency, and reliability • Review implementation decisions and identify architectural or technical improvements • Produce high-quality, well-structured code that can be tested and evaluated consistently • Develop and review realistic coding tasks used to evaluate AI model capabilities • Assess AI-generated code for correctness, completeness, performance, and technical quality • Identify logic errors, implementation weaknesses, constraint violations, and incomplete solutions • Validate generated outputs against expected behaviour and objective technical requirements • Author feedback and annotations supporting AI model training and evaluation • Document technical decisions, best practices, implementation details, and problem-solving approaches • Collaborate with technical stakeholders and open-source contributors • Communicate complex engineering concepts clearly in written and verbal form • Contribute to knowledge-sharing and consistent technical standards

🎯 Requirements

• Strong expertise in competitive programming, coding problem analysis, or technically demanding software engineering • Advanced proficiency in at least one of Python3, Java, Rust, C++, Go, or TypeScript • Solid understanding of algorithms, data structures, complexity, and software-engineering fundamentals • Proven track record of open-source contributions or participation in collaborative software projects • Experience with debugging, feature implementation, code refactoring, or performance optimisation • Excellent written and verbal communication skills • Ability to explain technical decisions and reasoning clearly and precisely • Strong attention to detail in code validation, correctness, and output consistency • Comfortable working independently within a remote and collaborative environment • Ability to produce high-quality, well-documented work within demanding timelines • No prior experience in AI research or model training is required • Minimum weekly submission requirements apply • Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party

🏖️ Benefits

• Part-time independent contractor engagement • Fully remote work • Output-based compensation for tasks meeting project specifications • Flexible project workload and task complexity depending on experience and workflow