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Prompt Data Annotation Ai Jobs (NOW HIRING)

Data Annotation Technician Join Q Analysts and become part of a world-class organization. Q ... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ...

... 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 ...

Data Labeler

$30K - $50K/yr

Have experience in data annotation, AI evaluation, RLHF, or model assessment * Have worked with AI ... tools extensively and understand their strengths and limitations * Enjoy finding edge cases and ...

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Prompt Data Annotation Ai information

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$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:
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.

Python Developer _ MRM & Data Annotation (AI/ML)

Tata Consultancy Service Limited

Charlotte, NC • On-site

$110K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 hours ago


Job description

Must Have Technical/Functional Skills
Python , MRM , Data Annotator ,Agile concepts, CI/CD
10+ years experience
Roles & Responsibilities
• 10+ years of hands experience in Python , MRM , Data Annotator
• Build and maintain Python pipelines for data ingestion, preprocessing, and model feature preparation.
• Implement MRM controls such as model documentation, versioning, validation evidence, and audit trails.
• Develop tools for annotation workflow automation (task assignment, QA sampling, and label consistency checks).
• Collaborate with risk, compliance, and data science teams to align model development with governance standards.
• Create reproducible training/evaluation scripts with clear experiment tracking and model lineage.
• Define and monitor model performance, drift, and data quality metrics across lifecycle stages.
• Design labeling guidelines and enforce annotation standards to improve downstream model reliability.
• Perform root-cause analysis for model errors and annotation defects, then drive corrective actions.
• Build APIs/utilities for secure data access, transformation, and integration with internal platforms.
• Support model validation activities with technical artifacts, assumptions, and testing evidence.
• Ensure adherence to data privacy, security, and responsible AI policies in all workflows.
• Document SOPs, handover notes, and technical runbooks for operational continuity.
Generic Managerial Skills, If any
• Proactive and result-oriented leader, adept in mentoring and motivating the dynamic team to exemplary performance.
• Strong communication, collaboration, and team building skills with proficiency in grasping new technical concepts quickly
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $110,000-$125,000 a year