Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...
Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...
Data Analyst II - Agentic Experiences
Seattle, WA · On-site
$112K - $156K/yr
... innovative products, services, and tools to deliver high-quality experiences for travelers ... Hands-on experience with data annotation or labeling workflows, including quality control and ...
Data Analyst II - Agentic Experiences
Seattle, WA · On-site
$112K - $156K/yr
... innovative products, services, and tools to deliver high-quality experiences for travelers ... Hands-on experience with data annotation or labeling workflows, including quality control and ...
Conduct detailed data annotation and quality assurance of natural language datasets following ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Conduct detailed data annotation and quality assurance of natural language datasets following ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Every new product we build, service we create, or experience we deliver is the result of us making ... and data-annotation pipelinesExperience working with simulations to produce large ...
Every new product we build, service we create, or experience we deliver is the result of us making ... and data-annotation pipelinesExperience working with simulations to produce large ...
Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control * Improve reliability, performance, and safety across existing C# codebases
Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control * Improve reliability, performance, and safety across existing C# codebases
Develop full-stack backend services and tooling for data annotation, validation, and quality control * Improve reliability, safety, and performance across existing production Rust codebases
Develop full-stack backend services and tooling for data annotation, validation, and quality control * Improve reliability, safety, and performance across existing production Rust codebases
Creative Writing Generative AI Analyst - USA (Remote)
Charleston, WV · Remote
$28.80/hr
This role focuses on annotation, data quality, prompt evaluation, and the creation of high-quality ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Quick apply
Creative Writing Generative AI Analyst - USA (Remote)
Charleston, WV · Remote
$28.80/hr
This role focuses on annotation, data quality, prompt evaluation, and the creation of high-quality ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control * Hunt down and resolve complex concurrency issues - deadlocks, race conditions, and ...
Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control * Hunt down and resolve complex concurrency issues - deadlocks, race conditions, and ...
$168K - $210K/yr
Our data annotation capabilities transform raw, ambiguous data into contextually enriched training assets through advanced labeling services covering image and video, audio, text, and 3D sensor ...
$168K - $210K/yr
Our data annotation capabilities transform raw, ambiguous data into contextually enriched training assets through advanced labeling services covering image and video, audio, text, and 3D sensor ...
Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control * Build and maintain evaluation harnesses for ML models, integrating with inference ...
Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control * Build and maintain evaluation harnesses for ML models, integrating with inference ...
Previous experience in data annotation, content review, quality assurance, or labeling operations ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Quick apply
Previous experience in data annotation, content review, quality assurance, or labeling operations ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Previous experience in data annotation, content review, quality assurance, or labeling operations ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Quick apply
Previous experience in data annotation, content review, quality assurance, or labeling operations ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Previous experience in data annotation, content review, quality assurance, or labeling operations ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Quick apply
Previous experience in data annotation, content review, quality assurance, or labeling operations ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Previous experience in data annotation, content review, quality assurance, or labeling operations ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Quick apply
Previous experience in data annotation, content review, quality assurance, or labeling operations ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Staff Software Engineer, Annotation Platform, Autonomy
Palo Alto, CA · On-site
$206K - $258K/yr
... data annotation, ML/DL training and infrastructure, using modern cloud services and open-source ... frameworks. You will tackle ambiguous, cross-functional problems (scale, reliability, cost ...
Staff Software Engineer, Annotation Platform, Autonomy
Palo Alto, CA · On-site
$206K - $258K/yr
... data annotation, ML/DL training and infrastructure, using modern cloud services and open-source ... frameworks. You will tackle ambiguous, cross-functional problems (scale, reliability, cost ...
Previous experience in data annotation, content review, quality assurance, or labeling operations ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Quick apply
Previous experience in data annotation, content review, quality assurance, or labeling operations ... Driving innovation in language services, Welocalize delivers high-quality training data ...
Staff Software Engineer, Annotation Platform, Autonomy
Palo Alto, CA · On-site
$206K - $258K/yr
... data annotation, ML/DL training and infrastructure, using modern cloud services and open-source ... frameworks. You will tackle ambiguous, cross-functional problems (scale, reliability, cost ...
Staff Software Engineer, Annotation Platform, Autonomy
Palo Alto, CA · On-site
$206K - $258K/yr
... data annotation, ML/DL training and infrastructure, using modern cloud services and open-source ... frameworks. You will tackle ambiguous, cross-functional problems (scale, reliability, cost ...
... data annotation, ML/DL training and infrastructure, using modern cloud services and open-source ... frameworks. You will tackle ambiguous, cross-functional problems (scale, reliability, cost ...
... data annotation, ML/DL training and infrastructure, using modern cloud services and open-source ... frameworks. You will tackle ambiguous, cross-functional problems (scale, reliability, cost ...
Sigma is a leading global technology company specializing in data collection and annotation for ... services. Need Help? We're here for any questions or concerns. Join us and be part of something ...
Sigma is a leading global technology company specializing in data collection and annotation for ... services. Need Help? We're here for any questions or concerns. Join us and be part of something ...
Staff AI Engineer, Perception
$207K - $323K/yr
Experience with MLOps such as (but not limited to) data annotation services, data storage, model evaluation tools, and model deployment * Publications in your field (CVPR, ICCV, RSS, ICRA preferred ...
Quick apply
Staff AI Engineer, Perception
$207K - $323K/yr
Experience with MLOps such as (but not limited to) data annotation services, data storage, model evaluation tools, and model deployment * Publications in your field (CVPR, ICCV, RSS, ICRA preferred ...
Data Annotation Services information
What are the key skills and qualifications needed to thrive in Data Annotation Services, and why are they important?
To excel in Data Annotation Services, strong attention to detail, data literacy, and a foundational understanding of data labeling processes are essential, often requiring a high school diploma or equivalent. Familiarity with annotation platforms, labeling tools, and sometimes basic knowledge of scripting or data management systems is typically expected. Strong work ethic, consistency, and effective communication skills help individuals stand out in collaborative, deadline-driven environments. These capabilities ensure high-quality, accurate labeled data, which is critical for training reliable machine learning models.
What is the difference between Data Annotation Services vs Data Labeling Specialists?
| Aspect | Data Annotation Services | Data Labeling Specialists |
|---|---|---|
| Credentials | Typically no formal credentials required; focus on training | Often have training in specific tools or industry standards |
| Work Environment | Collaborative, often remote or in-office teams | Similar, working in teams or independently on labeling tasks |
| Industry Usage | Used by AI/ML companies for training datasets | Employed in similar settings, focusing on labeling data for AI models |
| Search & Comparison Intent | Understanding services offered for data preparation | Looking for roles or tasks related to data labeling |
Data Annotation Services encompass the broader process of preparing and annotating data for AI and machine learning projects, often provided by specialized companies. Data Labeling Specialists are individual professionals or team members who perform the actual labeling tasks within these services. While both are closely related, services refer to the overall offering, whereas specialists are the personnel executing the work.
What are some common challenges faced when working in data annotation services, and how can I address them?
In data annotation services, one common challenge is maintaining consistency and accuracy, especially when handling large datasets or ambiguous data points. Clear annotation guidelines and regular communication with team leads help ensure that everyone interprets the data similarly. Additionally, repetitive tasks can lead to fatigue, so it's important to take scheduled breaks and leverage available annotation tools to streamline workflows. Collaborating with peers to discuss edge cases also helps improve overall data quality and fosters a supportive team environment.
What are data annotation services?
Data annotation services involve labeling or tagging data—such as images, text, audio, or video—to make it understandable for machine learning models. These services are essential in training artificial intelligence systems to recognize patterns, objects, or other relevant information in raw data. Companies use data annotation to improve the accuracy and effectiveness of AI applications, such as self-driving cars, chatbots, and image recognition. Professional annotators or specialized platforms often perform these tasks to ensure high-quality, consistent results.
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What job categories do people searching Data Annotation Services jobs look for? The top searched job categories for Data Annotation Services jobs are:
Full-time
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Job description
Job Summary:
Abaka AI is built on the mission to be the world’s most trusted data partner for AI companies. The Technical Project Associate will help design, build, and scale operational systems for AI data annotation and quality control programs, focusing on automating workflows and improving operational efficiency.
Responsibilities:
• Design, build, improve, and maintain internal workflows, automation systems, and operational tooling for data annotation and quality control programs
• Develop scripts, integrations, and AI-assisted solutions that reduce manual work and improve operational efficiency
• Build and maintain dashboards, reporting systems, and data management workflows that improve visibility across projects
• Collaborate with Project Managers, Operations teams, Reviewers, and Leadership to identify bottlenecks and implement scalable solutions
• Monitor workflow performance, troubleshoot operational issues, and resolve data inconsistencies
• Leverage AI coding agents and AI-assisted development tools to rapidly prototype, test, and deploy process improvements
• Create systems that improve reviewer productivity, quality control accuracy, project tracking, and operational reporting
• Document internal tools, workflows, and best practices to support long-term scalability
• Proactively identify opportunities for automation and operational optimization instead of only executing predefined tasks
• Support cross-functional initiatives as Abaka AI continues to scale globally
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Computer Engineering, Data Engineering, Information Systems, Industrial Engineering, or a related technical field
• Strong technical foundation in software development, automation, systems building, or operational tooling
• Experience improving business or operational processes through automation and tooling development: building projects, scripts, automations, or internal tools using Python or similar programming languages
• Familiarity with AI coding agents and AI-assisted development tools such as Claude Code, Codex, Cursor, GitHub Copilot, or similar platforms
• Understanding of APIs, workflow automation, system integrations, and structured data management concepts
• Familiarity with databases, data modeling, and operational data workflows
• Experience building or maintaining workflows using platforms such as Airtable, Retool, Zapier, n8n, Make, or similar tools
• Strong analytical thinking and problem-solving abilities
• Excellent communication and cross-functional collaboration skills
• Self-motivated, proactive, and comfortable operating in fast-paced, ambiguous environments
• Ability to quickly learn new tools, systems, and operational workflows
Preferred:
• Experience building workflow automation systems, internal operational tools, or reporting dashboards
• Familiarity with cloud infrastructure and developer tools such as AWS, GCP, Docker, Airflow, or similar technologies
• Experience supporting data annotation, AI training, data operations, or quality assurance workflows
• Previous experience as a reviewer, QA/QC specialist, trainer, or operations analyst
• Interest in AI, machine learning, and large-scale data infrastructure
Company:
Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Abaka AI is built on the mission to be the world’s most trusted data partner for AI companies. The Technical Project Associate will help design, build, and scale operational systems for AI data annotation and quality control programs, focusing on automating workflows and improving operational efficiency.
Responsibilities:
• Design, build, improve, and maintain internal workflows, automation systems, and operational tooling for data annotation and quality control programs
• Develop scripts, integrations, and AI-assisted solutions that reduce manual work and improve operational efficiency
• Build and maintain dashboards, reporting systems, and data management workflows that improve visibility across projects
• Collaborate with Project Managers, Operations teams, Reviewers, and Leadership to identify bottlenecks and implement scalable solutions
• Monitor workflow performance, troubleshoot operational issues, and resolve data inconsistencies
• Leverage AI coding agents and AI-assisted development tools to rapidly prototype, test, and deploy process improvements
• Create systems that improve reviewer productivity, quality control accuracy, project tracking, and operational reporting
• Document internal tools, workflows, and best practices to support long-term scalability
• Proactively identify opportunities for automation and operational optimization instead of only executing predefined tasks
• Support cross-functional initiatives as Abaka AI continues to scale globally
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Computer Engineering, Data Engineering, Information Systems, Industrial Engineering, or a related technical field
• Strong technical foundation in software development, automation, systems building, or operational tooling
• Experience improving business or operational processes through automation and tooling development: building projects, scripts, automations, or internal tools using Python or similar programming languages
• Familiarity with AI coding agents and AI-assisted development tools such as Claude Code, Codex, Cursor, GitHub Copilot, or similar platforms
• Understanding of APIs, workflow automation, system integrations, and structured data management concepts
• Familiarity with databases, data modeling, and operational data workflows
• Experience building or maintaining workflows using platforms such as Airtable, Retool, Zapier, n8n, Make, or similar tools
• Strong analytical thinking and problem-solving abilities
• Excellent communication and cross-functional collaboration skills
• Self-motivated, proactive, and comfortable operating in fast-paced, ambiguous environments
• Ability to quickly learn new tools, systems, and operational workflows
Preferred:
• Experience building workflow automation systems, internal operational tools, or reporting dashboards
• Familiarity with cloud infrastructure and developer tools such as AWS, GCP, Docker, Airflow, or similar technologies
• Experience supporting data annotation, AI training, data operations, or quality assurance workflows
• Previous experience as a reviewer, QA/QC specialist, trainer, or operations analyst
• Interest in AI, machine learning, and large-scale data infrastructure
Company:
Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.