Contra Labs

Technology

StrategicProjectsLead

$150–200k New York, New York, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Strategic Projects Lead at Contra Labs. Skills: Research design, Evaluation methodology, Data analysis, Creative quality evaluation. Design research studies. Lead research studies”

What You'll Achieve.

Deliver rigorous results; Deliver actionable results

Industry & Context.

Technology
Problems you'll solve

Context-switching; Priority management

Eligibility Requirements

Based in NYC, In-office 5 days/week

What They're Looking For.

Must Have

3+ years of hands-on experience conducting research, Experience with statistical methods, Proficiency with data analysis tools (Python, SQL), Experience in data labeling, annotation, human-in-the-loop systems, or AI/ML evaluation workflows, Track record managing multiple concurrent projects, Master's degree or PhD in HCI, cognitive science, psychology, design research, or related field (or equivalent industry experience)

Nice to Have

Experience with RLHF, LLM evaluation, benchmark design, or human-in-the-loop systems, Background in ethnography, UX research, or design study methodologies, Startup or 0-to-1 experience

What You'll Do.

Design research studies

Lead research studies

Develop annotation protocols

Develop evaluation methodologies

Conduct qualitative analysis

Conduct quantitative analysis

Oversee qualitative analysis

Oversee quantitative analysis

Synthesize findings into actionable insights

Synthesize findings into recommendations

Interface with creative domain experts

Manage evaluator teams

Calibrate for consistent quality

Develop annotation protocols

Develop data quality protocols

Develop inter-rater reliability protocols

Communicate research findings effectively

Collaborate with engineering on tooling needs

Contribute to Contra Labs' positioning

Translate client goals into research plans

Manage multiple concurrent projects

How You'll Work.

Team & Collaboration

Cross-functional teams; Engineering teams; Client stakeholders

Communication Scope

Presentations; Reports; Workshops

Process & Methodology

Project management

Full Job Description

Who we are and what we do Contra Labs is a human-centered research lab focused on understanding how creatives use AI, how AI tools can better align with creative needs, and how to preserve the diversity and originality that defines great creative work in an era of increasing homogenization. We connect a global network of top creative talent with frontier AI labs and product companies. By grounding our research in real creative workflows, we help define what "good" looks like across design, video, imagery, and beyond. Our work powers benchmarking, evaluation, and post-training for leading AI models and applications. Built on top of Contra, the professional network for independent creatives, Contra Labs turns human judgment into the training and evaluation layer that helps AI tools better serve the people who use them. Creatives are at the center of everything we do. Why this role exists Contra Labs is scaling across client engagements including post-training dataset creation, benchmarking programs, and ongoing evaluation partnerships. We need someone who can own the research and delivery side of this work end-to-end. Projects span AI labs, creative tool companies, and research teams, each with different requirements, timelines, and quality bars. This person scopes the methodology, designs the evaluation protocols, spins up the right evaluators, manages quality throughout, and makes sure we deliver rigorous, actionable results. What you'll do - Design and lead research studies including annotation protocols, rubrics, and evaluation methodologies for creative and multimodal outputs - Conduct and oversee qualitative and quantitative analysis, synthesizing findings into actionable insights and recommendations for clients - Interface with creative domain experts, manage evaluator teams, and calibrate for consistent quality through real-time course-correction - Develop and standardize annotation, data quality, and inter-rater reliability protocols across projects - Communi

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