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Data Annotation Ai Content Writer Jobs (NOW HIRING)

Data Labeler

$30K - $50K/yr

Moderate sensitive content and identify policy violations * Compare, rank, and score model ... Have experience in data annotation, AI evaluation, RLHF, or model assessment * Have worked with AI ...

... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ... Analyze content and use best judgement for proper answers * Meet daily, weekly and monthly velocity ...

High-quality data is the lifeblood of our "Physical AI" and the foundation of our autonomous ... Outstanding verbal and written communication abilities; ability to clearly explain complex visual ...

High-quality data is the lifeblood of our "Physical AI" and the foundation of our autonomous ... Outstanding verbal and written communication abilities; ability to clearly explain complex visual ...

The Data Annotation Specialist will be responsible for creating, refining, and validating ground ... Outstanding verbal and written communication abilities; ability to clearly explain complex visual ...

This role requires strong critical thinking, a clear point of view, and the ability to use AI as a ... Ensure content is grounded in real-world experience, data insights, behavioral science, and market ...

Leveraging AI to produce high quality, compliant, on-brand content. * Efficient content development ... and market data. WHY EPIC: EPIC has over 60 offices and 3,000 employees nationwide - and we're ...

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Data Annotation Ai Content Writer information

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How much do data annotation ai content writer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for data annotation ai content writer in the United States is $40.46, according to ZipRecruiter salary data. Most workers in this role earn between $23.56 and $46.39 per hour, depending on experience, location, and employer.

What does a typical workday look like for a Data Annotation AI Content Writer?

As a Data Annotation AI Content Writer, your day often involves reviewing and labeling text data, creating annotation guidelines, and writing sample content tailored to AI training requirements. You may collaborate closely with data scientists, project managers, or fellow annotators to ensure consistency and clarity in annotations. The role usually balances independent focus time with regular team check-ins or workflow alignment meetings. Attention to evolving project needs and deadlines is important, as accuracy and speed are valued by both the team and end clients.

What is a Data Annotation AI Content Writer job?

A Data Annotation AI Content Writer is responsible for creating, labeling, and refining text-based content to train AI models. This involves writing, reviewing, and categorizing data to improve machine learning accuracy. The role helps AI systems understand language better by providing high-quality annotated content. Strong writing skills, attention to detail, and familiarity with AI tools are essential for this position.

What are the key skills and qualifications needed to thrive in the Data Annotation Ai Content Writer position, and why are they important?

A Data Annotation AI Content Writer requires strong attention to detail, proficiency in language, and a solid understanding of data labeling concepts, typically accompanied by a degree in linguistics, communications, or a related field. Familiarity with data annotation platforms, content management systems, and AI training tools is often necessary, and specialized certifications in data labeling can be beneficial. Exceptional written communication, adaptability, and time management differentiate candidates in this role. These skills are critical to ensure the accuracy and quality of annotated content that supports the effective training of AI models.

More about Data Annotation Ai Content Writer jobs
What cities are hiring for Data Annotation Ai Content Writer jobs? Cities with the most Data Annotation Ai Content Writer job openings:
What are the most commonly searched types of Data Annotation Ai Content Writer jobs? The most popular types of Data Annotation Ai Content Writer jobs are:
What states have the most Data Annotation Ai Content Writer jobs? States with the most job openings for Data Annotation Ai Content Writer jobs include:
Infographic showing various Data Annotation Ai Content Writer 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 $84,151 per year, or $40.5 per hour.
Python Developer _ MRM & Data Annotation (AI/ML)

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

Tata Consultancy Services

Charlotte, NC • On-site

$49 - $67.75/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

159th of 210 rated it services


Job description

Job Summary:
Tata Consultancy Services is seeking a Python Developer specializing in MRM and Data Annotation within the AI/ML domain. The role involves building and maintaining Python pipelines, implementing MRM controls, and collaborating with various teams to ensure model governance and data quality.
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.
Qualifications:
Required:
• Python
• MRM
• Data Annotator
• Agile concepts
• CI/CD
• 10+ years’ experience
• 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.
• 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
• BACHELOR OF COMPUTER SCIENCE
Company:
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting. It is a sub-organization of Tata Group. Founded in 1968, the company is headquartered in Mumbai, IND, with a team of 10001+ employees. The company is currently Late Stage.

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About Tata Consultancy Services

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Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US