Crewlia (founded 2025) is a privately held staffing and recruitment firm that connects ambitious companies with talent to drive measurable outcomes for fast-moving teams, offering considered searches to deliver lasting hires aligned with business momentum. Crewlia is a staffing and recruitment firm built for businesses with global ambitions. We help companies build teams through permanent hiring, contract staffing and embedded recruitment, with a focus on Engineering & Product, Sales & Marketing, and Finance & Operations. Our approach starts with understanding your business, defining the role and identifying the people who can move your team forward. Great people. Better together.
Remote · Australia, Canada, Ireland, New Zealand, United Kingdom, United States
Test mobile application flows against documented acceptance criteria, compare observed behavior with expected results, and reproduce and document failures. Review samples of passed checks for missed failures and flag unresolved questions about interaction issues across screen and device states.
Remote · Australia, Canada, Ireland, New Zealand, United Kingdom, United States
Test website pages, forms, and user flows against documented acceptance criteria, comparing observed results with expected behavior. Reproduce and document failures, assess edge cases, and flag unresolved questions for review.
Remote · Australia, Canada, Ireland, New Zealand, United States
Annotate, validate, and structure multimodal datasets across text, images, spreadsheets, and structured documents while meeting daily volume targets and quality standards. Audit AI outputs for hallucinations, formatting errors, and prompt deviations, and flag confusing or contradictory data to improve project guidelines.
Remote · Australia, Canada, Ireland, New Zealand, United States
Classify, label, review, and structure text, image, spreadsheet, and document datasets for AI model training. Evaluate AI-generated text and media for alignment with human intent and factual accuracy, identify labeling ambiguities and inconsistencies, and meet daily volume targets while maintaining quality standards.
Remote · Australia, Canada, Ireland, New Zealand, United States
Process, categorize, review, and annotate multimodal datasets, including text, images, spreadsheets, and structured documents, to ensure high-quality inputs for AI models. Evaluate model outputs for accuracy, coherence, alignment, and formatting, identify edge cases, and provide feedback to improve AI taxonomies while maintaining high quality at scale.
Remote · Australia, Canada, Ireland, New Zealand, United Kingdom, United States
Review, annotate, tag, and structure multimodal datasets, including text, images, spreadsheets, and structured documents, while following formatting guidelines. Audit AI outputs for hallucinations, formatting errors, and prompt deviations; escalate ambiguous inputs and help improve classification standards while meeting accuracy and throughput goals.
Remote · Canada, United States
Annotate and validate datasets across text, images, spreadsheets, and structured documents, while auditing AI outputs for hallucinations, formatting errors, and prompt deviations. Flag confusing or contradictory data and meet daily volume targets while maintaining rigorous quality standards.
Remote · Canada, United States
Process, categorize, review, and annotate multimodal datasets, including text, images, spreadsheets, and structured documents, to ensure high-quality inputs for AI models. Evaluate model outputs for accuracy, coherence, alignment, and formatting, identify edge cases, and provide feedback to improve AI taxonomies while maintaining high quality at scale.
Remote · Canada, United States
Classify, label, and structure text, image, spreadsheet, and document datasets for AI model training, while reviewing AI-generated content for alignment with human intent and factual accuracy. Identify ambiguous labels, edge cases, and inconsistencies, and meet daily production targets while maintaining quality standards.
Remote · Canada, United States
Annotate, categorize, and validate multimodal datasets according to project guidelines, and review AI model outputs for accuracy, coherence, alignment, and formatting. Identify ambiguous labels, edge cases, and inconsistencies while meeting quality benchmarks and daily throughput goals.