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Data Annotation Tech Jobs in New York (NOW HIRING)

Datavant

Clinical AI Data Specialist

New York, NY

Clinical annotation or AI/ML data labeling experience in a health-tech or healthcare AI environment * Familiarity with HCC reimbursement models * Exposure to NLP or ML model outputs in a clinical ...

NBCUniversal

Senior Data Scientist

Manhattan, NY

$120K - $150K/yr

Work with partner ML and Annotation engineers and TPMs to spec out data and training requirements ... paced, high growth tech environment. * Professional Experience: Proven experience as a Data ...

NBCUniversal

Senior Data Scientist

New York, NY

$120K - $150K/yr

Work with partner ML and Annotation engineers and TPMs to spec out data and training requirements ... paced, high growth tech environment. * Professional Experience: Proven experience as a Data ...

Alice

Freelancer - GenAI Experts

New York, NY · On-site +1

The most sophisticated technology challenges in the world are waiting down the rabbit hole. We're ... Support data annotation, curation, and quality control processes * Summarize findings into ...

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How much do data annotation tech jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for data annotation tech in New York is $24.99, according to ZipRecruiter salary data. Most workers in this role earn between $18.41 and $29.71 per hour, depending on experience, location, and employer.

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

To thrive as a Data Annotation Tech, you need keen attention to detail, basic computer literacy, and familiarity with data labeling standards, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and basic knowledge of data management systems is highly valuable. Strong organizational skills, patience, and effective communication set top candidates apart in this field. These skills and qualities ensure annotated data is accurate, consistent, and valuable for machine learning or AI projects.

What does a typical day look like for a Data Annotation Tech?

A typical day as a Data Annotation Tech involves reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them using specialized software. You may work independently or as part of a team, following specific project guidelines to ensure data integrity and consistency. Collaboration with project managers or data scientists is common when clarifying ambiguous data points or addressing annotation challenges. Additionally, productivity targets and quality checks are a regular part of the workflow, helping to keep projects on schedule and maintain high standards.

What is a Data Annotation Tech job?

A Data Annotation Tech is responsible for labeling and categorizing data, such as text, images, audio, or video, to train machine learning models. They follow specific guidelines to ensure accuracy and consistency in annotations, which helps improve the performance of AI systems. This role often involves repetitive tasks, attention to detail, and familiarity with various annotation tools. Data annotation is crucial for AI development in industries like healthcare, finance, and autonomous driving.

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Data Annotation Tech jobs near you
Arabic Data Labeling Analyst(Speech & Voice )

Arabic Data Labeling Analyst(Speech & Voice )

Welocalize

Manhattan, NY • On-site

Full-time

Re-posted 14 days ago

Welocalize rating

5.9

Company rating: 5.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

361st of 451 rated business services

Job description

Job Summary:
Welocalize is looking for detail-oriented individuals to join their team as Data Labeling Analysts, supporting speech and voice AI systems. This role focuses on building datasets for AI systems by executing data labeling tasks and ensuring accuracy and consistency.
Responsibilities:
• Execute high-volume data labeling and annotation tasks across speech and voice datasets
• Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
• Work with audio and language data, including transcription, categorization, and tagging
• Maintain strong throughput while meeting quality expectations
• Escalate unclear or ambiguous cases appropriately
• Adapt to evolving guidelines and workflows as systems and requirements change
• Support baseline data production needs for AI training pipelines
• Contribute to team calibrations and quality alignment sessions
Qualifications:
Required:
• Native-level fluency in Croatian
• Strong written communication skills and language fundamentals
• 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field.
• Ability to follow detailed instructions and apply guidelines consistently
• High attention to detail and ability to maintain accuracy in repetitive tasks
• Comfort working in structured, process-driven environments
• Ability to manage time effectively and maintain steady output
• Willingness to ask questions and escalate when needed
Preferred:
• Basic familiarity with AI, speech technology, or language data is a plus
Company:
Welocalize provides translation supply chain management solutions that deliver market-ready, translated content. Founded in 1997, the company is headquartered in Frederick, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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