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Prompt Data Annotation Ai Jobs (NOW HIRING)

... data for AI models. The role involves collaborating with project managers and stakeholders to ... annotation process. Responsibilities : • Annotate data accurately and consistently according to ...

... data for AI models. The role involves collaborating with project managers and stakeholders to ... annotation process. Responsibilities : • Annotate data accurately and consistently according to ...

... alignment in the annotation process. Responsibilities : • Annotate data accurately and ... RWS is a global AI solutions company empowering the world's most trusted enterprise AI. Founded in ...

... alignment in the annotation process. Responsibilities : • Annotate data accurately and ... RWS is a global AI solutions company empowering the world's most trusted enterprise AI. Founded in ...

Responsibilities : • Build and improve quality assurance and compliance systems across AI data annotation projects • Design quality standards, review processes, escalation workflows, and ...

... alignment in the annotation process. Responsibilities : • Annotate data accurately and ... RWS is a global AI solutions company empowering the world's most trusted enterprise AI. Founded in ...

... data annotation process. • Maintain high attention to detail and quality throughout the ... RWS is a global AI solutions company empowering the world's most trusted enterprise AI. Founded in ...

Track annotation progress, throughput, and quality metrics. * Maintain annotation dashboards to ensure timely delivery aligned with AI development milestones. 4. Data Governance & Compliance Support

Responsibilities : • Build and improve quality assurance and compliance systems across AI data annotation projects • Design quality standards, review processes, escalation workflows, and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

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Prompt Data Annotation Ai information

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

As of Jun 26, 2026, the average hourly pay for prompt data annotation ai in the United States is $36.26, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $39.66 per hour, depending on experience, location, and employer.

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

AspectPrompt Data Annotation AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, often with AI teamsRemote or on-site, often with data teams
Industry UsageAI development, machine learning projectsData management, machine learning datasets
Job FocusAnnotating data for AI prompts and modelsLabeling data for training AI algorithms

Prompt Data Annotation Ai specialists focus on creating high-quality annotations specifically for AI prompts, ensuring models understand context. Data Labelers perform similar tasks but may work on broader datasets. Both roles require attention to detail and are vital in AI development, often overlapping but with different emphasis on prompt-specific annotation versus general data labeling.

How to become an AI data annotation?

To become an AI data annotation specialist, you should develop strong attention to detail, basic computer skills, and familiarity with annotation tools such as Labelbox or CVAT. Many roles require no formal degree, but understanding of data labeling processes and the ability to follow guidelines are essential. Training is often provided by employers, and the job can involve flexible or part-time schedules.

Is data annotation real or fake?

Data annotation is a real and essential process in AI development where human annotators label data such as images, text, or audio to train machine learning models. It involves accurately tagging data to improve model performance and is performed using specialized tools and guidelines.

What do AI data annotators do?

AI data annotators label and categorize data such as images, videos, text, or audio to help train machine learning models. They use specialized tools to add tags, bounding boxes, or transcriptions, ensuring data quality and consistency for AI development.

How much does data annotation AI pay?

Data annotation AI jobs typically pay between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or company. Some roles may offer project-based pay or part-time schedules, with higher rates for specialized skills or advanced tools usage.
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What states have the most Prompt Data Annotation Ai jobs? States with the most job openings for Prompt Data Annotation Ai jobs include:

Technical Product Manager - Data Annotation & Labelling

Skild AI

San Mateo, CA

$190K - $219K/yr

Other

Posted 7 days ago


Job description

Position Overview

We are looking for a Technical Product Manager - Data Annotation & Labelling with 5+ years of experience to lead and scale the full operations lifecycle for robotics data collection. This individual will manage a cross-functional team, build scalable systems, and make a significant impact in a rapidly evolving space. This role is crucial for driving execution and continuously improving workflows and systems to support rapid growth. This is a high visibility role that will have enormous impact on the company's trajectory. 

Responsibilities
  • Own and scale the full lifecycle for products pertaining to robotics data collection, labelling and annotation from physical setups to contractor management and annotation pipelines.
  • Drive data operations programs collaborating with operations managers, technicians and engineering
  • Build 0-1 solutions for large scale data pipelines
  • Work with executive leadership to develop data operations strategy and align these to overall corporate goal
Preferred Qualifications
  • 5+ years of experience in a fast-paced, startup-like environment
  • 2+ years in a technical role (e.g., engineer, program manager, product manager) at a technology company
  • Strong technical problem-solving skills, with the ability to quickly learn complex systems
  • Proven track record of supporting cross-functional stakeholders across customers, product, and engineering
  • Proven ability to communicate effectively with senior management
  • Ability to define and drive technology strategy
  • Previous entrepreneurial experience
  • Experience building products or initiatives from 0 to 1
  • BS/MS in Technical discipline