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 · Canada, United States
Review, annotate, validate, and structure multimodal datasets across text, images, spreadsheets, and structured documents. Evaluate AI-generated content for linguistic and structural quality, flag confusing or contradictory data, and meet daily volume targets while maintaining quality standards.
Remote · Canada, United States
Review, annotate, categorize, and structure multimodal datasets, including text, images, spreadsheets, and structured documents, to improve data quality for machine learning. Evaluate AI outputs for accuracy, coherence, alignment, and formatting, identify edge cases, and provide feedback while meeting weekly productivity targets.
Remote · Canada, United States
Review, annotate, and structure multimodal datasets, including text, images, spreadsheets, and structured documents, while following formatting guidelines. Evaluate AI-generated text and media for alignment with human intent and factual accuracy, identify labeling ambiguities and inconsistencies, and meet weekly productivity targets.
Remote · Canada, United States
Annotate, categorize, and validate multimodal datasets, including text, images, spreadsheets, and structured documents, according to project guidelines. Evaluate AI-generated content for linguistic and structural quality, flag confusing or contradictory data, and meet daily volume targets while maintaining quality standards.
Remote · Canada, United States
Classify, label, review, and structure text, image, spreadsheet, and document datasets to improve the quality of AI models. Assess model outputs for accuracy, coherence, alignment, and formatting, document recurring errors, and meet daily volume and quality targets.
Remote · Canada, United States
Classify, label, review, and structure text, image, spreadsheet, and document datasets to support AI model training. Evaluate model outputs for accuracy, coherence, alignment, and formatting, escalating ambiguous inputs and completing high-volume reviews precisely.
Remote · Canada, United States
Annotate, categorize, and validate large-scale multimodal datasets, including text, images, spreadsheets, and structured documents, according to project guidelines. Review AI model outputs for accuracy, coherence, alignment, and formatting, and identify edge cases and inconsistencies to improve labeling taxonomies.
Remote · Canada, United States
Review, annotate, tag, and structure multimodal datasets according to strict formatting and classification guidelines. Evaluate AI-generated content for linguistic and structural quality, escalate ambiguous inputs, and complete high-volume reviews accurately and efficiently.
Remote · Canada, 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 data inconsistencies, and meet daily volume and quality targets.
Remote · Canada, United States
Annotate, categorize, and validate multimodal datasets, including text, images, spreadsheets, and structured documents, following project guidelines. Evaluate AI-generated content for linguistic and structural quality, escalate ambiguous inputs, and complete high-volume reviews accurately and efficiently.
Remote · Canada, United States
Classify, label, review, and structure text, image, spreadsheet, and document datasets for AI model training, while evaluating generative AI responses for logic, tone, safety, and factual accuracy. Escalate ambiguous inputs, help improve classification standards, and complete high-volume reviews accurately and efficiently.
Remote · Canada, United States
Tag, structure, and review multimodal datasets, including text, images, spreadsheets, and structured documents, while following formatting guidelines. Evaluate AI outputs for accuracy, coherence, alignment, and formatting, escalate ambiguous inputs, and meet quality and throughput targets.
Remote · Canada, United States
Review, annotate, categorize, and structure multimodal datasets to improve the quality of inputs used by machine learning models. Audit AI outputs for hallucinations, formatting errors, and prompt deviations, and provide feedback on edge cases and 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 auditing AI outputs for hallucinations, formatting errors, and prompt deviations. Flag confusing or contradictory data and maintain high quality scores while processing datasets at scale.
Remote · Canada, United States
Review, annotate, categorize, and structure multimodal datasets to provide high-quality inputs for machine learning systems. Audit AI outputs for hallucinations, formatting errors, and prompt deviations, identify edge cases, and meet daily volume targets while maintaining quality standards.
Remote · Canada, United States
Classify, label, review, and structure text, image, spreadsheet, and document datasets used to train AI models. Evaluate AI-generated content for alignment with human intent and factual accuracy, document recurring errors and edge cases, and maintain high quality scores while processing data at scale.
Remote · Canada, United States
Review, annotate, categorize, and structure multimodal datasets to provide high-quality inputs for machine learning models. Evaluate generative AI responses for logic, tone, safety, and factual accuracy, identify edge cases, and meet daily volume and quality targets.
Remote · Canada, United States
Annotate, categorize, and validate multimodal datasets, including text, images, spreadsheets, and structured documents, according to project guidelines. Review AI outputs for accuracy, coherence, alignment, and formatting, identify labeling ambiguities and inconsistencies, and meet quality and throughput targets.
Remote · Canada, United States
Review, annotate, and structure multimodal datasets, including text, images, spreadsheets, and structured documents, while following formatting guidelines. Evaluate AI-generated text and media for alignment with human intent and factual accuracy, flag unclear or contradictory data, and maintain high quality scores at scale.
Remote · Canada, United States
Review, annotate, categorize, and structure multimodal datasets, including text, images, spreadsheets, and structured documents, to support AI and machine learning models. Evaluate AI-generated content for linguistic and structural quality, escalate ambiguous inputs, and meet accuracy and daily throughput targets.
