AI training work open in Germany

Create realistic CATIA modeling tasks, document them in SuperAnnotate, and record yourself completing them on your computer.

Create realistic Creo tasks, document them in SuperAnnotate, and record yourself completing them on your computer.

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

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

Evaluate AI chat and search tools, applying grading guidelines to rank and annotate model responses.

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.

Listen to AI-narrated German audiobooks and log errors such as mispronounced words, incorrect numbers, and unnatural intonation.

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.

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

Review AI-generated German content and trainer/QA work, then provide written feedback against project guidelines.

Review AI-generated Danish content and rate and compare responses for accuracy, fluency, grammar, tone, and cultural appropriateness, writing precise feedback.

Review AI-generated iOS code and technical explanations, and rate and compare multiple AI responses on correctness and reasoning quality.

Review AI-generated Android code and technical explanations, and write reference implementations with step-by-step reasoning.

Review AI-generated React Native code and mobile app architectures, and write reference implementations with step-by-step reasoning.

Review AI-generated full-stack code and system designs, and produce reference implementations with step-by-step reasoning.

Review AI-generated Angular code and rate and compare multiple AI responses based on correctness and reasoning quality.

Review AI-generated React/Next.js code and technical explanations for correctness, and write reference implementations demonstrating best practices with step-by-step reasoning.

Review AI-generated clinical responses and fact-check medical information, providing precise written feedback on reasoning quality and accuracy.

Review AI-generated legal research outputs, write model research memos, and rate and compare responses on correctness and reasoning quality.

Review AI-generated clinical responses, evaluating reasoning quality and giving written feedback on accuracy, safety, and clarity.

Review AI-generated nursing and clinical-care responses, evaluating reasoning quality and providing precise written feedback.

Review AI-generated SQL queries and database designs, and write reference solutions with step-by-step explanations for complex data problems.

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

Review AI-generated fintech, payments, and crypto responses, evaluating reasoning quality and providing precise written feedback.

Review AI-generated contract analyses and drafting outputs, identifying errors in clause interpretation and risk allocation.

Review AI-generated compliance and regulatory outputs, evaluating reasoning quality and providing written feedback on accuracy and clarity.

Review AI-generated legal support responses for accuracy and errors, then evaluate and rank them to improve correctness and clarity.

Review AI-generated risk management responses and write precise feedback on reasoning quality and accuracy.

Review AI-generated tax and audit responses for accuracy and reasoning quality, and write expert explanations and model solutions.

Review AI-generated insurance responses and write expert content, identifying errors in coverage analysis, claims handling logic, and underwriting reasoning.

Review AI-generated financial analysis responses and identify errors in modeling logic, assumptions, and valuation reasoning with written feedback.

Review AI-generated advertising outputs and write expert ad copy, rating and comparing multiple responses for effectiveness, correctness, and reasoning quality.

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

Review AI-generated market research outputs and evaluate research design, sampling logic, and survey construction, providing precise written feedback.

Review AI-generated brand strategy and positioning outputs and provide precise written feedback on reasoning quality.

Review AI-generated PR communications outputs and write model deliverables such as press releases, statements, and FAQs.

Review AI-generated SEO and marketing outputs and rate and compare multiple AI responses for effectiveness and reasoning quality.

Review AI-generated social content and strategy outputs, and write precise written feedback on clarity, brand voice, and platform fit.

Review AI-generated marketing copy for accuracy, tone and clarity, and rank multiple responses while writing expert rewrites with feedback.

Review AI-generated radiology responses and evaluate imaging reasoning, writing precise written feedback on accuracy and safety.

Review AI-generated dental and oral-health responses and write expert model solutions demonstrating correct clinical reasoning.

Review AI-generated public health responses for errors in epidemiologic reasoning, and write gold-standard prompts and answers on public health topics.

Review AI-generated clinical research content and identify errors in study design, statistics, and evidence interpretation.

Review AI-generated medication responses and evaluate pharmacotherapy reasoning, identifying errors in dosing, contraindications, and interactions.

Review AI-generated Scala code and technical explanations, and write reference implementations with step-by-step reasoning for complex engineering problems.

Review AI-generated C++ code and technical explanations for errors in logic, memory handling, and concurrency, and write reference model solutions.

Review AI-generated C code for errors in logic, memory handling, and concurrency, and write reference implementations.

Review AI-generated PHP code and backend designs, then rate and compare AI responses for correctness.

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.

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

Evaluate AI-generated responses for scientific accuracy and logical soundness across astronomy and space science topics, providing structured feedback on errors.

Review AI-generated legal analyses and fact-check citations and stated rules, providing precise written feedback.

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

Review AI-generated analytical reasoning, code, and model outputs for errors, and write step-by-step reference solutions for complex data problems.

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

Review AI-generated engineering solutions, evaluating reasoning quality, and rate and compare multiple responses with written feedback on correctness.

Review AI-generated chemistry responses, identify calculation or methodology errors, and rate multiple responses by chemical correctness.

Review AI-generated math responses, evaluate step-by-step reasoning, and identify errors in calculations and methodology.

Review AI-generated responses, evaluate reasoning quality and step-by-step problem-solving, and provide expert feedback on biological accuracy.

Review AI-generated medical responses, fact-check clinical information, and rate and compare multiple responses based on correctness and reasoning quality.

Review AI-generated Swift and iOS responses, evaluating their reasoning quality, and write expert-level explanations and model solutions.

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

Review AI-generated responses and write R data-analysis solutions, evaluating the reasoning quality behind each solution.

Review AI-generated Kotlin responses and rate and compare multiple AI responses for correctness and reasoning quality.

Review AI-generated C#/.NET responses, fact-check technical claims, and rate and compare responses for correctness and reasoning quality.

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

Review AI-generated JavaScript code and explanations, and rate and compare multiple AI responses on correctness and reasoning quality.

Review AI-generated Go code and compare multiple AI responses for correctness and reasoning quality.

Review AI-generated TypeScript code snippets and explanations for correctness, and write reference solutions while rating and comparing multiple AI responses.

Review AI-generated Java code and technical explanations, then rate and compare multiple AI responses for correctness.

Review AI-generated Python solutions for correctness and code quality, and write clear step-by-step explanations and exemplary solutions.

Review AI-generated German responses, evaluate reasoning quality, and provide expert feedback so outputs are accurate, logical, and clearly explained.

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.