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Full Time Data Annotation Specialist Jobs (NOW HIRING)

Encord

Strategic Projects Lead

New York, NY · On-site

$150K - $300K/yr (+ commission)

You'll work directly with clients, annotation specialists, ML engineers, Account Managers, and Forward Deployed Engineers to ensure the data powering their models is fast, accurate, and scalable.

Welocalize, Inc.

Data Quality Analyst

San Francisco, CA · On-site

Data Management and Annotation: * Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. * Handle data efficiently, ensuring ...

Welocalize, Inc.

Data Quality Analyst

San Francisco, CA · On-site

Data Management and Annotation: * Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. * Handle data efficiently, ensuring ...

Welocalize, Inc.

Data Labeling Associate

$16.50 - $21.25/hr

Data Management and Annotation: * Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. * Handle data efficiently, ensuring ...

Welocalize, Inc.

Data Labeling Associate

New York, NY · On-site

$17.50 - $22.75/hr

Data Management and Annotation: * Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. * Handle data efficiently, ensuring ...

Welocalize, Inc.

Data Quality Analyst

New York, NY · On-site

Data Management and Annotation: * Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. * Handle data efficiently, ensuring ...

Welocalize, Inc.

Data Labeling Associate

San Diego, CA · On-site

$17 - $22/hr

Data Management and Annotation: * Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. * Handle data efficiently, ensuring ...

Welocalize, Inc.

Data Quality Analyst

New York, NY

Data Management and Annotation: * Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. * Handle data efficiently, ensuring ...

Welocalize, Inc.

Data Quality Analyst

Data Management and Annotation: * Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees. * Handle data efficiently, ensuring ...

Marine Travelift

Data Entry Specialist

Sturgeon Bay, WI · On-site

$16.25 - $21.75/hr

Marine Travelift is excited to be adding a full time Data Entry Specialist to our growing Purchasing Department. Your primary focus is on important administrative support responsibilities managing a ...

Marine Travelift

Data Entry Specialist

Sturgeon Bay, WI · On-site

$16.25 - $21.75/hr

Marine Travelift is excited to be adding a full time Data Entry Specialist to our growing Purchasing Department. Your primary focus is on important administrative support responsibilities managing a ...

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Full Time Data Annotation Specialist information

See salary details

$28K

$72.9K

$88K

How much do full time data annotation specialist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for full time data annotation specialist in the United States is $72,947.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $87,000.00 per year, depending on experience, location, and employer.

What is a full time data annotation specialist?

A Full Time Data Annotation Specialist is a professional responsible for labeling and categorizing data, such as images, text, audio, or video, to help train machine learning models. Their primary role involves accurately tagging or marking data according to specific guidelines, which is essential for artificial intelligence and machine learning applications. This job often requires attention to detail, consistency, and sometimes domain-specific knowledge, depending on the project. Data annotation specialists typically work in industries like technology, healthcare, autonomous vehicles, and e-commerce. Full-time positions usually offer stable hours and may include benefits.

What are the key skills and qualifications needed to thrive as a full time data annotation specialist?

To thrive as a Full Time Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or higher. Proficiency in using annotation tools (such as Labelbox or Supervisely), spreadsheets, and sometimes basic scripting is typically required. Excellent communication, time management, and the ability to follow detailed instructions help you stand out in this role. These skills and qualities are crucial to ensure high-quality, accurate datasets that drive effective machine learning and AI model development.

What are some common challenges faced by full time data annotation specialists, and how can they be managed?

Full Time Data Annotation Specialists often encounter challenges such as maintaining high accuracy while working with large volumes of data, staying focused during repetitive tasks, and adapting to evolving annotation guidelines. Managing these challenges involves developing an eye for detail, regularly reviewing updated instructions, and using productivity techniques like taking short breaks or collaborating with team members to discuss ambiguities. Additionally, many organizations provide ongoing training and support to ensure consistency and quality in annotations.

What is the difference between Full Time Data Annotation Specialist vs Data Labeling Technician?

AspectFull Time Data Annotation SpecialistData Labeling Technician
CredentialsHigh school diploma or equivalent; some roles prefer certifications in data annotationHigh school diploma or equivalent; minimal certifications required
Work EnvironmentOffice or remote; collaborative with data science teamsWarehouse or office; focused on labeling tasks
Industry UsageUsed across AI, machine learning, and data science industriesPrimarily in AI and machine learning sectors for data preparation

The Full Time Data Annotation Specialist and Data Labeling Technician roles both involve preparing data for AI models. The specialist typically has broader responsibilities, may require certifications, and works in collaborative environments, while the technician focuses on specific labeling tasks with minimal credentials. Both roles are essential in the data annotation process within AI industries.

More about Full Time Data Annotation Specialist jobs

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Cities with the most Full Time Data Annotation Specialist job openings:

What are the most commonly searched types of Data Annotation Specialist jobs?

The most popular types of Data Annotation Specialist jobs are:

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Full Time Data Annotation Specialist jobs near you
Infographic showing various Full Time Data Annotation Specialist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $72,947 per year, or $35.1 per hour.

Strategic Projects Lead

Encord

New York, NY • On-site

$150K - $300K/yr (+ commission)

Full-time

Medical, Dental, Vision, PTO

Re-posted 17 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 Strategic Projects Lead, you'll fully own and optimize the data annotation and machine learning workflows behind Encord's largest client relationships. You'll work directly with clients, annotation specialists, ML engineers, Account Managers, and Forward Deployed Engineers to ensure the data powering their models is fast, accurate, and scalable.

This is a hands-on, high visibility role. You have direct influence on whether Encord's highest-value customers renew and expand.

What you'll do

  • Own data annotation projects end-to-end, translating complex AI/ML requirements into clear workflows and instructions for annotation teams

  • Design and refine annotation processes, audit results, and build feedback loops that raise data quality

  • Act as a trusted advisor to clients — designing and implementing the human-annotation workflow that gets them to production fastest

  • Partner with product and engineering to drive improvements in AI training data tools and methodology

  • Directly influence account health: your workflow design and execution are a primary driver of whether strategic accounts renew, expand, or churn

Who we're looking for

  • A sharp, execution-oriented operator with a consulting or AI-company pedigree . A structured thinker, strong PM instincts, bias for getting things done

  • Analytically rigorous and comfortable with ambiguity. You break down operational problems from first principles

  • Technically fluent: comfortable querying a database, auditing annotation outputs, or automating a workflow in Python

  • A natural translator between ML engineers and non-technical clients on multi-stakeholder projects

  • Entrepreneurial — you 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 ownership of complex, multi-stakeholder workflows end-to-end: scoping, execution, QA, iteration

  • Experience designing/optimizing data operations with an eye for quality, consistency, and scalability, ideally human-in-the-loop or structured labeling work

  • 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

  • Bonus: 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

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: 4 days/week

  • Flexible PTO to fully recharge

  • 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

Compensation Range: $150K - $300K