Source Job

$29,273–$35,113/yr
Canada

  • Label objects in 2D images and 3D sensor data using specialized tools to create bounding boxes and cuboids for vehicles, road elements, and obstacles.
  • Review pre-labeled data to ensure it meets detailed guidelines, and accept, reject, or correct annotations.
  • Collaborate with team members, apply feedback to improve skills, and manage multiple projects with minimal supervision.

Data Annotation LiDAR Quality Assurance Attention To Detail Communication

9 jobs similar to Data Annotator

Jobs ranked by similarity.

$29,273–$35,113/yr
Canada

  • Label objects in 2D and 3D sensor data to train AI systems for autonomous trucks.
  • Review and correct annotations to ensure they follow detailed guidelines.
  • Collaborate with teammates and communicate effectively to continuously improve workflows.

Torc is an autonomous vehicle technology company developing software for automated trucks, and a part of the Daimler family. Their culture is collaborative, energetic, and team focused, with a commitment to diversity and inclusion.

$20–$35/hr
US

  • Label construction drawings with bounding boxes, polygons, and segmentation masks to meet our accuracy bar.
  • Apply guidelines consistently, flag ambiguous cases, and clean existing datasets.
  • Hit weekly quality and throughput targets while working closely with ML engineers.

Bobyard uses computer vision and NLP to automate construction takeoffs and estimates, so contractors bid faster and win more. We raised a $35M Series A led by 8VC and are growing fast, with a fast-paced, autonomous culture.

Global

  • Collect data according to detailed project guidelines and specifications.
  • Ensure collected data meets the project's required standards and apply feedback for corrections.
  • Maintain consistent quality and productivity throughout the project.

Our enterprise client is a leading provider of high-quality, diverse datasets for AI model development. They are seeking skilled contributors to support AI training initiatives focused on improving AI-powered language and speech models.

Europe

  • Annotate and label text, images, audio, or other content for AI training projects.
  • Evaluate AI-generated content for quality, relevance, accuracy, and overall usefulness.
  • Create, review, and test prompts to improve large language model performance.

AI Trainers Network is a global AI contributor network that shapes smarter and more human-centered AI through language and cultural expertise. It connects a diverse international community of independent contributors working on flexible, remote AI training projects.

  • Follow project-specific guidelines to research and evaluate e-commerce data.
  • Rate the usefulness and relevance of product filters and results based on guidelines.
  • Complete freelance tasks remotely with flexible weekly hours and pay based on tasks completed.

Welo Data is a data annotation and evaluation company supporting AI technology advancement through human intelligence and linguistic expertise. It is part of Welocalize's global network of over 400,000 in-country linguistic resources and offers a multicultural, remote-friendly culture.

Canada

  • Conduct structured quality audits on spatial and mapping datasets using mapping platforms and GIS-standard evaluation tools.
  • Evaluate and cross-reference complex business, geographic, and cultural data entries against multiple authoritative sources.
  • Perform root-cause analysis when spatial data points conflict across sources, documenting discrepancies with precise reasoning.

TELUS Digital AI Community is a global network of over one million contributors who collect, enhance, train, translate, and localize content to build better AI models. Contributors enjoy flexible, remote work and a structured environment that values rigorous evaluation and quality.

Global

  • Own day-to-day execution for annotation queues on a live AI training/eval program.
  • Run quality calibrations, monitor contributor performance, and resolve bottlenecks.
  • Build dashboards that give stakeholders real-time visibility into throughput and quality.

Prolific builds the world's largest pool of quality human data, used by over 35,000 AI developers, researchers, and organizations. The company prioritizes ethically sourced feedback and believes diverse human perspectives will drive the next leap in AI innovation.

$60,000–$80,000/yr
US Unlimited PTO

  • Review and annotate audio and video content to support fraud detection, authentication, and deepfake detection technologies.
  • Apply classification criteria to identify fraud indicators, synthetic content, and other attributes while maintaining high-quality datasets.
  • Document observations and collaborate with Research Scientists to resolve edge cases and support model improvements.

Pindrop is a cybersecurity company that delivers continuous identity verification across voice, video, and digital interactions. It protects billions of high-risk interactions for leading enterprises and is recognized for innovation, backed by top investors, and values a diverse, inclusive, and remote-first culture.

India

  • Annotate text, image, audio, and video data to train large language models and AI systems.
  • Evaluate search results, ads, and chatbot outputs for factual accuracy, linguistic quality, and safety.
  • Provide detailed feedback and documentation to refine AI model reasoning and evaluation frameworks.

Our partner is a company focused on AI training and data annotation, working with a global network of linguists and tech enthusiasts. It values flexibility, transparency, and cultural accuracy in AI development.