Research And Development Engineer

Freelance Research Engineer
About Uber AI Solution
sUber AI Solutions is Uber’s enterprise marketplace connecting highly experienced industry professionals with leading Generative AI researchers and product teams working on cutting-edge AI systems. We partner with top-tier subject matter experts to improve how advanced large language models (LLMs) understand, evaluate, and reason through complex, real-world industry workflows
About the Role
We are looking for a Research Engineer Curator to help design, implement, and review complex, multi-step AI research tasks that simulate real-world Research Engineering challenges. These tasks will contribute to the next generation of AI evaluation benchmarks used to measure and improve state-of-the-art language models.
In this role, you'll work closely with researchers to develop high-quality benchmark tasks requiring 1–2 days of continuous effort to complete. You'll have access to advanced internal AI tools, experimental model checkpoints, and collaborate through a fast feedback loop with leading AI researchers.
Key Responsibilities
Design and curate challenging, multi-step Research Engineering tasks for AI model evaluation.
Create realistic agentic workflows that require planning, reasoning, coding, experimentation, and debugging.
Review and validate benchmark tasks to ensure technical correctness, difficulty, and reproducibility.
Collaborate closely with researchers through daily feedback sessions to continuously improve benchmark quality.
Perform data analysis and evaluate model behavior across complex research tasks.
Identify edge cases, failure modes, and opportunities to improve evaluation methodologies.
Document findings, evaluation criteria, and benchmark specifications.
Required Qualifications Education
MSc or PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Mathematics, Statistics, Physics, Engineering, or another STEM discipline.
Equivalent practical research experience in computational research domains will also be considered.
Experience
1+ years of experience in Research Engineering, Machine Learning, AI Research, Data Science, or a related technical research role.
Experience working on research projects involving experimentation, coding, or quantitative analysis.
Technical Skills Software Engineering
Strong Python programming and scripting skills.
Experience using Git and modern development workflows.
Familiarity with IDEs and debugging tools.
Knowledge of software engineering best practices and clean code principles.
Machine Learning & AI
Strong understanding of machine learning fundamentals.
Familiarity with Large Language Models (LLMs), their capabilities, limitations, and evaluation.
Experience designing, running, and analyzing ML experiments.
Basic understanding of reinforcement learning concepts is a plus.
Data Science
Strong analytical and statistical reasoning skills.
Experience cleaning, analyzing, and interpreting complex datasets.
Proficiency with Jupyter Notebooks or Google Colab.
Research Methodology
Strong understanding of scientific methods, hypothesis testing, and experimental design.
Experience conducting rigorous computational research.
Preferred Qualifications
Experience in one or more of the following areas is highly desirable:
Research Engineering or Research Scientist collaborations
AI Evaluation or Benchmark Development
Test Engineering or Quality Assurance
LLM Red Teaming or AI Safety
Prompt Engineering or Agentic AI workflows
Experience using AI coding assistants (e.g., Gemini, Cursor, JetBrains AI Assistant, GitHub Copilot)
What We're Looking For
The ideal candidate is someone who:
Enjoys solving difficult technical problems.
Has exceptional attention to detail.
Thinks creatively about edge cases and failure modes.
Can work independently in ambiguous research environments.
Produces high-quality, well-documented technical work.
Is comfortable collaborating closely with researchers in a fast-paced setting.
Project Details & Flexibility:
Position Type: Remote / Independent Freelance Engagement
Work hours : 35 hours/week - 7 hours a day
Compensation: Competitive, premium hourly rates scaled to domain expertise.

Work arrangement
Yes