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Full Time Data Annotation Jobs (NOW HIRING)

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$150K - $350K/yr

Experience building data annotation and dataset management tools. The US base salary range for this full-time position is between $150,000 - $350,000 annually. The pay offered for this position may ...

Hark

Data Collection

San Jose, CA · On-site

$150K - $250K/yr

Familiarity with data annotation platforms or labeling pipelines. * Experience with synthetic data ... Compensation The US base salary range for this full-time position is between $150,000 - $250,000 ...

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Full Time Data Annotation information

Can I use ChatGPT for data annotation?

Full Time Data Annotation roles typically require manual labeling of data to ensure accuracy, as AI tools like ChatGPT can assist but are not sufficient alone for high-quality annotation. Using ChatGPT can help generate initial labels or suggestions, but human oversight is essential to verify correctness and handle complex cases. Familiarity with annotation tools and guidelines is also important for this role.

How much does data annotation actually pay?

Data annotation jobs typically pay between $10 and $20 per hour, depending on the complexity of the task and the employer. Many positions are freelance or part-time, often requiring basic computer skills and attention to detail. Pay rates can vary based on experience, tools used, and the platform offering the work.

Are data annotations still hiring?

Data annotation jobs are still available as companies continue to expand their AI and machine learning projects. These roles often require attention to detail and familiarity with annotation tools, and they are frequently offered as remote or flexible positions. Job availability can vary based on industry demand and company needs.

What is the difference between Full Time Data Annotation vs Data Labeling Specialist?

AspectFull Time Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer certifications in data managementHigh school diploma; training in labeling tools often provided
Work EnvironmentOffice or remote; part of a larger data teamPrimarily remote or on-site; focused on labeling tasks
Industry UsageTech, AI, autonomous vehicles, healthcareAI, machine learning, computer vision projects
Search & Comparison IntentUnderstanding full-time roles in data annotationLooking for specialized labeling positions

Full Time Data Annotation involves comprehensive responsibilities within a team, often requiring a broader understanding of data processes. Data Labeling Specialists focus specifically on labeling data accurately for AI and machine learning models. Both roles are essential in AI development, but Full Time Data Annotation roles typically encompass more tasks and collaboration, whereas Data Labeling Specialists concentrate on precise data tagging.

Is it hard to get hired for data annotation?

Getting hired for a full-time data annotation role generally requires basic computer skills, attention to detail, and sometimes familiarity with specific tools or platforms. The hiring process is often straightforward, with many companies offering remote positions and minimal formal requirements, making entry relatively accessible for beginners.
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Full Time Data Annotation jobs near you
Infographic showing various Full Time Data Annotation job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution.
Helix AI Engineer, Data Infrastructure

Helix AI Engineer, Data Infrastructure

Figure

San Jose, CA • On-site

$150K - $350K/yr

Full-time

Posted 22 days ago

Job description

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose and require 5 days/week in-office collaboration. It's time to build.
Figure's vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for an experienced Data Infrastructure Engineer, to take our AI data infrastructure to the next level. This role is focused on building tools and software components that offload, store, manipulate and provide access to robot data, managing on premise and cloud resources, and providing production support for this infrastructure. The ideal candidate has experience building tools and infrastructure for a large-scale autonomous / deep learning system.
Responsibilities
  • Design, build, and maintain tools and software components that offload, store, manipulate and provide access to robot data
  • Architect and manage storage and compute resources across on-premise and cloud environments at a massive scale.
  • Implement optimal data transmission and storage solutions for all stages of Figure's data pipeline from recording to neural network training
  • Work together with AI researchers to support new kinds of data workflows

Requirements
  • Strong software engineering fundamentals
  • Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field
  • Minimum of 4 years of professional, full-time experience building reliable backend systems
  • Experience with Linux and command line tools
  • Experience with Python
  • Experience using and managing data stores (Postgres, MySQL, ElasticSearch, Redis, etc.).

Bonus Qualifications
  • Experience managing cloud infrastructure (AWS, Azure, GCP)
  • Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.)
  • Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.)
  • Experience building data annotation and dataset management tools.

The US base salary range for this full-time position is between $150,000 - $350,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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