Research Engineer, Curator

TransPerfect

Research Engineer (RE) Curator at DataForce by TransPerfect, creating evaluation benchmarks for AI systems. Involves Python proficiency and experimental research collaboration.

Posted 7/25/2026contractRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing AI evaluation benchmarks and dataset frameworks, with strong proficiency in Python programming and experience in machine learning and model testing. Capable of conducting systematic research and collaborating effectively with cross-functional teams to translate complex concepts into actionable insights.

Highest-signal resume keywords

Python ProgrammingMachine LearningAI EvaluationBenchmark CurationResearch Mindset

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisExperimental ResearchModel Testing FrameworksLLMsScalable Code Writing

Soft Skills

Analytical CapabilitiesProblem-Solving

Tools & Technologies

JupyterColabGitModern IDEs

Certifications & Qualifications

MScPhD

Industry Keywords

AIMLComputer ScienceStatisticsMathematicsPhysicsComputational Sciences

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design, curate, and implement complex AI evaluation benchmarks and dataset frameworks to test advanced LLM capabilities and limitations
Conduct experimental research, red teaming, and systematic testing to identify model failure modes, edge cases, and reasoning gaps
Utilize Python, Jupyter/Colab environments, and modern IDEs to write scalable code, process datasets, and automate evaluation pipelines
Collaborate with AI research and engineering teams to translate complex subject-matter concepts into actionable model benchmarks
Document research findings, track codebase and dataset changes via Git, and deliver precise sourcing and evaluation reports.

Requirements

What you’ll need

Successful completion of a role-specific coding/research assessment and background check
MSc or PhD in a STEM discipline (Computer Science, AI/ML, Statistics, Mathematics, Physics, Computational Sciences, or related field)
Proven background as a Research Engineer, Applied Scientist, ML Engineer, Research Scientist, or AI Researcher
Strong hands-on Python programming skills, with daily fluency in Git, modern IDEs, and Jupyter/Colab environments
Core experience in Machine Learning, LLMs, data analysis, and structured experimental research
Direct experience in AI evaluation, benchmark curation/development, red teaming, or model testing frameworks (preferred)
Strong research mindset paired with exceptional analytical and problem-solving capabilities.

Benefits

Comp & perks

Flexible work arrangements