BLACKDROME NETWORK · EXPERT CONTRIBUTORS FOR AI

The right minds for
harder AI problems.

We connect AI research labs and AI data companies with technical contributors evaluated on the work itself: coding, reinforcement-learning environments, agent evaluations, verifiers and AI training tasks.

Blackdrome builds benchmarks, environments and verifiers. We assess contributors with the same standards we use for our own research.

1,000+ experts from top tech companies and AI labs
THE NETWORK

Alreadydoingthiswork,atscale.

1,000+

Engineers, researchers and reviewers across coding, RL environments, agent evaluation and technical review.

Top labs

Experts who have done this work at top tech companies and AI labs, vetted before they join.

Operators

Our team has run expert delivery for AI training and evaluation programs. We know what a good brief, a reliable contributor and an on-time delivery take.

WHO WE WORK WITH
01

Frontier AI labs

Post-training and evaluation teams that need specialists who can write hard tasks, judge model output and find where a model breaks.

02

AI data companies

Delivery teams that need dependable capacity for coding, RL and evaluation projects, with quality that holds as the project scales.

03

Research teams

Academic and independent groups building benchmarks, environments and datasets that need contributors who understand the research.

EXPERTISE

Fourareas,chosenonpurpose.

01
Coding & Software Engineering

Contributors who work in real codebases.

Repository-level tasks and debugging, test writing, code review and reference solutions, across Python, TypeScript, Go, Rust, C++ and more.

02
RL Environments

People who build the places where models learn.

Environment and task authoring, verifier and grader design, reward-hacking and shortcut checks, and difficulty calibrated against current models.

03
Agent Evaluation

Reviewers who can say exactly what went wrong.

Trajectory review and scoring, rubric design, failure analysis and red teaming, for multi-step and tool-use tasks.

04
Technical Review

Senior reviewers who keep a project consistent.

Expert QA of tasks and labels, adjudication of disagreements, guideline audits, and feedback that raises a team's bar.

HOW SELECTION WORKS

Evaluatedonthework,beforeyoumeetthem.

01

Skill assessment

A work sample in the contributor's own area, the same kind of task they would do for you, scored against a written rubric. Not a quiz or a keyword screen.

02

Technical review

A reviewer from our team reads the work and the reasoning behind it: correctness, whether they verify their own answers, and shortcuts that would pass a weak check.

03

Availability verification

Hours, time zone, start date and tooling are confirmed before anyone is proposed for a project, so the people you meet can actually start.

Areas (optional)

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CONTACT

Prefertotalkfirst?

Write to us about a project, a partnership or joining the network. Conversations about your work stay confidential.