ZipRecruiter

Log In

1

Prompt Data Annotation Ai Jobs (NOW HIRING)

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$130K - $210K/yr

Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams * Ensure the highest standards of data ...

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$130K - $210K/yr

Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams * Ensure the highest standards of data ...

RWS Group

Data Annotator for AI Models (Italian)

$56 - $72.75/hr

... 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 ...

RWS Group

Data Annotator for AI Models (Dutch)

... 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 ...

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

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 ...

Figure

Helix AI Engineer, Android Tooling

San Jose, CA

$150K - $350K/yr

You'll design and build native Android applications that bring Figure's AI training and data-annotation tooling directly into the hands of robot operators and annotators on the floor - where a web ...

Figure

Helix AI Engineer, Android Tooling

San Jose, CA · On-site

$150K - $350K/yr

You'll design and build native Android applications that bring Figure's AI training and data-annotation tooling directly into the hands of robot operators and annotators on the floor - where a web ...

next page

Showing results 1-20

All JobsPrompt Data Annotation Ai Jobs

Prompt Data Annotation Ai information

See salary details

$11

$36

$72

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

As of Jul 16, 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.

Is it hard to get hired for data annotation?

Getting hired for a data annotation role, such as Prompt Data Annotation AI, generally depends on the applicant's attention to detail, basic computer skills, and ability to follow instructions. Many positions are entry-level and may require minimal prior experience, with some companies providing training or onboarding. Competition can vary, but building a strong understanding of annotation tools and maintaining accuracy can improve chances of employment.

Is data annotation AI a legit company?

Data annotation AI roles are typically part of legitimate companies that provide data labeling services for machine learning. It is important to research the company's reputation, reviews, and employment practices before applying or accepting a position. Many companies in this field require attention to detail and familiarity with annotation tools or platforms.

Can you use AI to work for data annotation?

Prompt Data Annotation AI roles involve using artificial intelligence tools to label and categorize data for machine learning models. Workers typically follow guidelines, use annotation software, and may need basic understanding of AI concepts or specific tools. AI can assist in automating parts of the process, but human oversight remains essential for accuracy.

How much does an AI data annotator make?

AI data annotators typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Many roles are remote and may require familiarity with annotation tools and attention to detail.
More about Prompt Data Annotation Ai jobs
What cities are hiring for Prompt Data Annotation Ai jobs? Cities with the most Prompt Data Annotation Ai job openings:
What states have the most Prompt Data Annotation Ai jobs? States with the most job openings for Prompt Data Annotation Ai jobs include:
What job categories do people searching Prompt Data Annotation Ai jobs look for? The top searched job categories for Prompt Data Annotation Ai jobs are:
Prompt Data Annotation Ai jobs near you
Infographic showing various Prompt Data Annotation Ai job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $75,411 per year, or $36.3 per hour.

Human Data Operations Strategist

Encord

San Francisco, CA • On-site

$130K - $210K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 26 days ago

Job description

About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.
Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
As a Human Data Operations Strategist, you will play a critical role in managing and optimising data annotation and machine learning workflows for our clients. You will work closely with cross-functional teams, including clients, annotation specialists, and machine learning engineers, to ensure high-quality data is available for AI models.
What you'll do
  • Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams
  • Ensure the highest standards of data quality by designing and refining annotation processes, auditing results, and implementing feedback loops
  • Act as a trusted advisor to clients, helping them design and implement the best data annotation workflow for their human annotation process
  • Provide guidance and feedback to the annotation team, ensuring team members are equipped with the context and skills needed to perform high-quality work aligned with project requirements and best practices
  • Work closely with product and engineering teams to drive improvements in AI training data processes, tools, and methodologies

Who we're looking for
  • A sharp, execution-oriented operator with a consulting or AI company pedigree - you bring structured thinking, strong project management instincts, and a bias for getting things done
  • Analytically rigorous and comfortable with ambiguity - you break down complex operational challenges from first principles and build clear, actionable plans to solve them
  • Technically fluent enough to get hands-on with data - whether that's querying a database, auditing annotation outputs, or automating a workflow in Python
  • Passionate about AI and machine learning, with genuine curiosity about how data quality and operations underpin model performance
  • A natural communicator who can translate fluidly between ML engineers and non-technical clients, keeping complex multi-stakeholder projects on track
  • Entrepreneurial and collaborative - you thrive in fast-paced environments and take ownership without waiting to be told what to do

Experience requirements
  • 3-7 years of professional experience, with a strong preference for backgrounds in top-tier strategy consulting and/or operations or data roles at leading AI or technology companies
  • Proven ability to own complex, multi-stakeholder workflows end-to-end - from scoping and planning through execution, quality assurance, and iteration
  • Working proficiency in Python or SQL, with the ability to query data, automate workflows, or audit annotation outputs; broader familiarity with relational databases or data annotation tooling equally valued
  • Experience designing or optimising data operations processes with a strong eye for quality, consistency, and scalability - ideally in a context involving human-in-the-loop workflows or structured labelling tasks
  • Demonstrated ability to engage effectively with both technical stakeholders (ML engineers, data scientists) and non-technical clients, translating requirements clearly in both directions
  • Bonus: hands-on experience with computer vision, generative AI, or multimodal data workflows; prior exposure to data annotation platforms or quality management frameworks; experience coaching or managing operational teams

Why Encord
  • Competitive salary, commission, and meaningful equity in a high-growth start-up
  • Clear, accelerated growth opportunities as the company scales rapidly
  • Strong in-person culture: 3-5 days/week in our newly launched North Beach loft office
  • Flexible PTO to fully recharge
  • 18 paid vacation days in the U.S. plus federal holidays
  • Annual learning & development budget
  • Comprehensive health, dental, and vision coverage
  • Frequent travel opportunities across the U.S., London, and Europe
  • Bi-annual company offsites, twice-weekly team lunches, and monthly socials

Apply