RLHF & Human Feedback
The signal your reward model learns fromRLHF engineers build the pipeline — reward modelling, preference collection, grading rubrics — and human feedback experts produce the comparisons and written critiques that feed it. Inter-reviewer agreement is measured and reported, not assumed.
RLHF EngineersHuman Feedback ExpertsPrompt Engineering ExpertsReward ModellingPreference Data CollectionReviewer Calibration
Model Evaluation
Grading that a training loop can useEvaluators grade output against your rubric across reasoning, factuality, and instruction-following, and write the justification behind each score. AI QA testers run structured regression across releases and agent flows, filing reproducible defects rather than impressions.
AI Model EvaluatorsAI QA TestersRubric GradingReasoning Trace ReviewRegression SuitesBenchmark Design
AI Safety & Red Teaming
Attack it before your users doSafety specialists define policy, refusal taxonomies, and harm categories. Red team evaluators attack the model on purpose: adversarial prompt testing, jailbreak discovery, hallucination detection, and robustness testing under distribution shift — all measured against commitments you publish.
Adversarial Prompt TestingJailbreak TestingHallucination DetectionSafety EvaluationModel Robustness TestingHuman Preference Evaluation
Code Evaluation & Programming Experts
Senior engineers grading model codeProgramming language experts write the reference solution and grade model-generated code on correctness, security, and idiom — across Python, TypeScript, JavaScript, Rust, Go, Java, and C++. AI coding specialists build the unit-tested, repository-scale benchmarks that measure whether a model can ship working software.
Programming Language ExpertsCode ReviewersAI Coding SpecialistsReference SolutionsRepo-Scale BenchmarksSecurity Review
AI Data & Datasets
Datasets designed, curated, and auditedAI data scientists own dataset design, sampling strategy, and contamination checks, then run the analysis that tells you whether a training run moved the metric. Training data specialists curate and quality-control at volume, with agreement scoring and an audit trail on every batch.
AI Data ScientistsTraining Data SpecialistsDataset DesignContamination ChecksAgreement ScoringQC Audits
Creative IntelligenceFeatured
Secondary offeringFor teams doing generative creative work or capturing purpose-shot media: creative AI specialists who direct generative image, video, and audio workflows, plus the directors, cinematographers, editors, colorists, and sound designers behind production-grade capture where quality carries into the training set.
Creative AI SpecialistsFilm DirectorsCinematographers / DOPPost-Production LeadsColoristsVFX ArtistsMotion GraphicsSound DesignersAudio EngineersVideo Editors