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HUMAN AI EVALUATION

Expert review.
Better AI decisions.

Evaluate AI-generated code and model responses with software specialists. Compare candidate outputs, investigate failure cases, and define review criteria before your next model or product decision.

Scope an evaluation pilot See an example report

Here to contribute your expertise? Explore the network

Software specialists working through an evaluation together

Which AI decision are you making?

Start with a question your engineering team needs to answer. Agree on the sample, review criteria and deliverables before work begins.

Can we trust the generated change?

Review supplied code or patches against requirements, edge cases, maintainability and security concerns. Connect each finding to the code and the reviewer’s reasoning.

Explore code evaluation

Which model response is stronger?

Compare candidate responses using the same task context and a blinded review approach. Record the reasons for a preference and where reviewers disagree.

Read the review methodology

What should our evaluation measure?

Define criteria and score anchors around your application’s failure modes. Use a small pilot to find ambiguous instructions before expanding the review.

See pilot inputs and scope

Review the illustrative report to see the format. It uses synthetic examples and is not a client result. Fees, reviewer availability and delivery dates are agreed after scoping.

THE BOUNDEV APPROACH

Expert-ledQualified software specialists
IndependentStructured, auditable review

BRING YOUR EXPERTISE IN

Software Systems Data

Expert judgment, where it matters.

Code review, model comparisons, and clear criteria grounded in software engineering.

Software expert carefully reviewing code

Find the subtle issues a test suite can miss.

Review with depth.

CODE EVALUATION
Two engineers discussing the quality of a software change

Bring real engineering context to model responses.

Add your perspective.

INDEPENDENT REVIEW
Engineer considering a technical problem with a colleague

Define what a strong answer should look like.

Set a higher standard.

RUBRICS & DATASETS

Work built around your expertise.

Clear project terms

See the rate, scope, and payment model before you commit to a project.

Know what to expect.

Room for your schedule

Find remote projects that match your skills, availability, and interests.

Your expertise. Your rhythm.

Grow through quality

Build a verified record through real work and qualify for new opportunities.

Let your work speak.

THE EXPERT NETWORK

Explore expert work.

Review code. Question an answer.
Help define a higher standard.

View all opportunities
Two software experts examining code togetherEXPERIENCE IN THE DETAILS

01 SOFTWARE ENGINEERING

Code evaluation

Look beyond passing tests. Review code for correctness, clarity, and the edge cases that matter.

PythonTypeScriptCode review

Explore the work

MORE WAYS TO CONTRIBUTE

INDEPENDENT JUDGMENT

Response comparison

Two responses. One problem. Use your engineering experience to explain which approach holds up.

BackendFrontendSystems

EVALUATION DESIGN

Rubric development

Define what good looks like. Turn your domain knowledge into clear, useful evaluation criteria.

System designTechnical writingEvaluation

Start with your experience.

Tell us what you know and the work you enjoy. Our team reviews every application.

Apply to the network

Examples of expert work. Availability and project terms are shared with approved members.

How it works
Software expert thoughtfully reviewing code at a sunlit desk

YOUR NEXT CHAPTER

Great AI needs
people like you.

Bring your experience to meaningful evaluation work. Find projects where your judgment makes a difference.

Apply to join Explore opportunities
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