AI training work open in the United Kingdom

Create realistic SketchUp tasks, document them in SuperAnnotate, and record yourself executing each task on your computer.

Develop professional 3D modeling tasks, document them in SuperAnnotate, and record yourself executing each task on your computer.

Develop MicroStation CAD tasks, document them in SuperAnnotate, and record yourself executing each task on your computer.

Write realistic chemical engineering tasks from your own work and judge frontier AI model responses against professional standards.

Turn robotics problems from your own work into realistic tasks and judge frontier AI model responses.

Write realistic tasks from your own work and judge frontier AI model responses against professional standards.

Build realistic cardiology cases, give them to frontier AI models, and write grading rubrics for them.

Write realistic design briefs, run them through frontier AI design tools, and critique the output against professional standards in writing.

Build realistic gynecology and obstetrics cases and write grading rubrics to judge frontier AI model answers.

Build realistic dermatology cases and write grading rubrics to judge frontier AI model answers.

Evaluate AI model outputs on biology tasks and design benchmarks and training data for biology problems.

Evaluate AI model outputs on drug discovery tasks and design benchmarks and training data for drug discovery problems.

Evaluate AI model outputs on chemistry tasks and design benchmarks and training data for chemistry problems.

Review AI-generated and human-edited video for editing quality, pacing, and continuity, and provide precise written feedback on editing errors.

Evaluate AI models and agents using pre-defined scenarios and guidelines, and document findings in structured written reports.

Build realistic electrical engineering tasks, give them to frontier AI models, and write grading rubrics for them.

Build physics tasks, give them to frontier AI models, and write grading rubrics for the results.

Build clinical tasks, give them to frontier AI models, and write grading rubrics for the results.

Build mathematical tasks, give them to frontier AI models, and write grading rubrics for the results.

Build mechanical engineering tasks, give them to AI models, and write grading rubrics for the results.

Build software engineering tasks, give them to AI models, and write grading rubrics for the results.

Build realistic biology tasks, give them to frontier AI models, and judge the results.

Build realistic tasks from your chemistry work, run them through frontier AI models, and judge the results against professional standards.

Classify user requests as benign, dual-use or adversarial, judge three model answers safe or unsafe, and rank them.

Assess AI answers on chemical, biological, radiological and nuclear hazard topics for technical accuracy and safe framing.

Evaluate AI answers to chemical engineering scenarios, checking material and energy balances and assumptions.

Classify chemical requests, mark model answers safe or unsafe, and write the answer the model should have given.

Review AI-generated chemical, biological, radiological, and nuclear content for accuracy and safety, flagging unsafe or operationally enabling material.

Review AI-generated materials science content for scientific accuracy, and write gold-standard answers while ranking multiple AI responses by correctness.

Classify requests as benign, dual-use or adversarial and mark model answers as safe or unsafe.

Review AI-generated biochemistry content for scientific accuracy and write high-quality rewrites and model answers.

Build realistic healthcare operations tasks, give them to frontier AI models, and judge the results.

Build realistic data science tasks, give them to frontier AI models, and judge the results.

Build realistic accounting tasks, give them to frontier AI models, and judge the results.

Build realistic tasks from your finance work, run them through frontier AI models, and judge the results against professional standards.

Build realistic life sciences tasks from your own work and judge frontier AI model answers.

Build realistic legal tasks, give them to frontier AI models, and judge the results.

Review AI-generated responses, fact-check information, and rate and compare multiple responses for correctness and reasoning quality.

Record high-quality voice samples across diverse conversational, narrative, and instructional scripts with clear, natural, expressive delivery.

Review AI-generated Persian content and trainer work against project guidelines, and provide precise written feedback to maintain consistent quality standards.

Review AI-generated Gujarati content and trainer work against project guidelines, and provide precise written feedback to trainers and QAs.

Review AI-generated Gujarati content for accuracy and fluency, and write Gujarati model answers and rewrites.

Review AI-generated legal responses and write precise feedback on reasoning quality, accuracy, and step-by-step issue analysis.

Review AI-generated accounting responses for errors in journal entries and reconciliations, and write model solutions demonstrating correct methods.

Evaluate AI-generated responses for technical accuracy and challenge language models with realistic chemical engineering scenarios and calculations.

Evaluate AI-generated responses for technical accuracy and challenge language models with realistic biomedical engineering scenarios.

Review AI-generated physics responses, evaluate step-by-step reasoning, and identify errors in calculations, methodology, or conceptual understanding.

Review AI-generated English responses, evaluate reasoning quality, and rate and compare multiple responses for correctness.

Review SOC alerts and investigation outputs, distinguishing true positives from false positives by validating investigative evidence.

Evaluate AI-generated clinical content on heart failure diagnosis and management, and provide evidence-based feedback to improve AI medical recommendations.

Evaluate AI-generated interpretations of cardiovascular imaging findings and review clinical scenarios involving echocardiography, cardiac MRI, and cardiac CT.

Evaluate AI-generated interventional cardiology information and review scenarios involving coronary angiography, angioplasty, and stent placement.

Evaluate AI-generated interpretations of cardiovascular imaging findings and review clinical scenarios involving echocardiography, cardiac MRI, and cardiac CT.

Translate engineering requirements into SysML v2 textual models and create evaluation rubrics for assessing AI-generated SysML v2 models.

Solve and validate advanced mathematical problems by translating requirements into executable Python and command-line workflows.

Design original competitive programming problems with reference solutions and robust test suites that make wrong approaches fail.

Listen to short field recordings and annotate instruments, tempo, key, and timestamps of audible background events.

Create challenging computational mathematics and statistics tasks for AI models and evaluate model-generated proofs, calculations, code, and optimizations.

Create computational physical-science tasks that challenge advanced AI models and evaluate model-generated calculations, code, simulations, and models.

Create realistic computational earth-science tasks that challenge advanced AI models and evaluate model-generated code, geospatial analyses, simulations, and forecasts.

Create computational life-science tasks that challenge advanced AI models and evaluate model-generated code, analyses, models, and experiments.

Create realistic computational engineering tasks that challenge advanced AI models and evaluate model-generated code, calculations, simulations, and designs.

Create realistic software engineering tasks that challenge advanced AI models and evaluate model-generated code for correctness, robustness, and completeness.

Create realistic machine learning engineering tasks that challenge advanced AI models and evaluate model-generated code, experiments, and analyses.

Create realistic technical tasks with reproducible environments and tests, and review AI-generated work for correctness.

Create, evaluate, and refine AI-generated slide decks, focusing on storyline development, executive summary writing, and data-driven exhibit design.

Create, evaluate, and refine AI-generated slide decks, focusing on storyline development, executive summary writing, and data-driven exhibit design.

Design, evaluate and critique bioinformatics workflows and assess pipeline parameters and tool configurations for accuracy and reproducibility.

Curate, annotate, and validate drug discovery datasets, and assess AI-generated outputs for scientific accuracy, relevance, and reliability.

Write expert-level computational chemistry problems with verifiable solutions and review AI model outputs for scientific accuracy.

Write expert-level microbiome problems with verifiable solutions and review AI model outputs for scientific accuracy.

Write expert-level life sciences problems with verifiable solutions and review AI model outputs for scientific accuracy.

Evaluate biology and bioinformatics workflows and analyze biological datasets to provide recommendations for AI benchmarking initiatives.

Evaluate chemistry and computational chemistry workflows and analyze spectroscopic and simulation data to support AI benchmarking.

Review and create expert content on semiconductor fab hazards, emergency procedures, and safety documentation.

Create, evaluate, and refine AI-generated presentations, including monthly business review decks and variance analysis exhibits.

Create reproducible RL environments testing a model's ability to solve software engineering workflows, with a golden reference solution.

Create, evaluate, and refine AI-generated slide decks, focusing on storyline development, executive summary writing, and data-driven exhibit design.

Create, evaluate, and refine AI-generated slide decks such as investment pitch decks, position review one-pagers, and portfolio review presentations.