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Freelance Ai Data Annotation Jobs (NOW HIRING)

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 ...

... Freelance Audio Contributors. This is your chance to be on the front lines of how AI learns to ... voice work, or data annotation is a plus but not required Why This Matters * Every major AI ...

... of AI-generated content in English . Job Type: Freelance Location: Texas, work from home Work ... quality assurance, and data annotation and labeling. What We Offer * Flexible schedule

... of AI-generated content in English . Job Type: Freelance Location: Texas, work from home Work ... quality assurance, and data annotation and labeling. What We Offer * Flexible schedule

... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ... Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection ...

Strategic Projects Lead -- Audio Data

$53 - $71.75/hr

Required : • 3-7+ years of experience in data operations, AI data delivery, annotation operations, localization project management, marketplace operations, program management, or similar roles. • ...

Tamil Translator (Remote) | Sigma AI

$45K - $58K/yr

Sigma is a leading global technology company specializing in data collection and annotation for ... for freelancers under a commercial contract . Connectivity & Accessories: * Stable internet ...

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Freelance Ai Data Annotation information

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How much do freelance ai data annotation jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for freelance ai data annotation in the United States is $20.27, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.36 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Freelance AI Data Annotator, and why are they important?

To thrive as a Freelance AI Data Annotator, you need strong attention to detail, basic computer literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Experience with annotation platforms, labeling tools, and sometimes knowledge of spreadsheet software or project management systems is typically required. Reliability, time management, and effective communication are standout soft skills for meeting project deadlines and collaborating with remote teams. These skills are crucial for ensuring high-quality, accurate data annotations that directly impact the performance of AI models.

What are some common challenges faced by freelance AI data annotators, and how can they be addressed?

Freelance AI data annotators often encounter challenges such as maintaining consistency in labeling, meeting tight deadlines, and managing repetitive tasks. To address these, it's important to thoroughly understand the project guidelines, seek clarification from clients when needed, and use annotation tools efficiently. Regular communication with project managers and participating in quality checks can also help ensure accuracy and smooth workflow. Building a routine and taking short breaks can reduce fatigue and improve focus.

What does a Freelance AI Data Annotation job involve?

A Freelance AI Data Annotation job involves labeling, tagging, or categorizing data to train artificial intelligence models. This can include tasks like identifying objects in images, transcribing audio, or classifying text. Annotators follow specific guidelines to ensure consistency and accuracy so that the AI can learn from high-quality, well-labeled datasets. These jobs are typically remote, flexible, and can be project-based, making them popular for freelancers. Attention to detail and the ability to follow instructions are key skills for success in this role.

What is the difference between Freelance Ai Data Annotation vs Freelance Data Labeler?

AspectFreelance Ai Data AnnotationFreelance Data Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexibleRemote, flexible
Industry UsageAI and machine learning projectsData organization and categorization
Job FocusAnnotating data for AI trainingLabeling data for various purposes

Freelance Ai Data Annotation involves preparing data specifically for AI models, often requiring understanding of annotation tools. Freelance Data Labeler may perform similar tasks but can include broader data labeling roles. Both roles are remote, flexible, and essential for data-driven industries, but Ai Data Annotation is more specialized for AI development projects.

More about Freelance Ai Data Annotation jobs
What cities are hiring for Freelance Ai Data Annotation jobs? Cities with the most Freelance Ai Data Annotation job openings:
What are the most commonly searched types of Ai Data Annotation jobs? The most popular types of Ai Data Annotation jobs are:
What states have the most Freelance Ai Data Annotation jobs? States with the most job openings for Freelance Ai Data Annotation jobs include:
Infographic showing various Freelance Ai Data Annotation job openings in the United States as of June 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $42,153 per year, or $20.3 per hour.

Technical Project Associate

Abaka AI

Mountain View, CA • On-site

Full-time

Posted yesterday


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.