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Data Annotation Tech Jobs (NOW HIRING)

INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI ... At Innodata, we're partnering with the world's leading technology companies to build the future of ...

Oversee data annotation projects, translating complex AI and machine learning requirements into ... or technology companies * Proven ability to own complex, multi-stakeholder workflows end-to-end ...

Oversee data annotation projects, translating complex AI and machine learning requirements into ... technology companies * Proven ability to own complex, multi-stakeholder workflows end-to-end ...

... T consulting and workforce solutions firm providing services and support to Fortune 500 and ... Collaborate with data science and platform teams to deploy scalable AI solutions. Annotate and ...

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Data Annotation Tech information

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$34

How much do data annotation tech jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for data annotation tech in the United States is $22.84, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $27.16 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.

Is data annotation real or fake?

Data annotation is a legitimate job involving labeling data such as images, text, or audio to train machine learning models. It requires attention to detail and familiarity with annotation tools, and it is widely used in AI development. The work is real and essential for creating accurate AI systems.

Is data annotation tech still hiring?

Data annotation technician roles are currently in demand as companies expand their AI and machine learning projects. These positions often require attention to detail, familiarity with annotation tools, and sometimes basic knowledge of data privacy standards. Job availability can vary by industry and region but generally remains steady due to ongoing AI development needs.

How much does data annotation tech pay?

Data annotation technicians typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Entry-level roles may pay closer to minimum wage, while experienced workers or those with specialized skills can earn higher wages. Some positions offer freelance or remote work with flexible pay rates.

Does data annotation really pay you?

Data annotation jobs typically pay hourly or per task, with rates varying based on the platform, complexity of the work, and experience. Many companies and platforms offer remote work opportunities, and pay can range from minimum wage to higher rates for specialized skills or faster completion times.

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.

More about Data Annotation Tech jobs
What cities are hiring for Data Annotation Tech jobs? Cities with the most Data Annotation Tech job openings:
What are the most commonly searched types of Data Annotation Tech jobs? The most popular types of Data Annotation Tech jobs are:
What states have the most Data Annotation Tech jobs? States with the most job openings for Data Annotation Tech jobs include:
Infographic showing various Data Annotation Tech job openings in the United States as of June 2026, with employment types broken down into 8% As Needed, 8% Full Time, 8% Part Time, 8% Temporary, and 68% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $47,512 per year, or $22.8 per hour.
Spanish Data Annotator Specialist (Based in NY)

Spanish Data Annotator Specialist (Based in NY)

Welo Data

Jacksonville, FL • On-site

$28/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 26 days ago


Job description

OVERVIEW

We are seeking a QA Analyst - Data Annotation Specialist to contribute to a high-profile technology project. The ideal candidate will have a foundational understanding of quality assurance, data annotation, and data handling. Additionally, they must be fully proficient in English (U.S.) and Spanish (Spain) and possess excellent communication skills. They will play a pivotal role in ensuring the quality and accuracy of the project data.

Project Details

Job Title: QA Analyst - Data Annotation Specialist

Location: On-site at one of our offices office in South Bay, CA (Menlo Park or Sunnyvale)

Hours: 40 hours weekly

Language: Spanish (Spain)

Start date: Mid-January 2025

Employment Type: W-2 Contract

Duration: At least 12 months (with potential for extension)

Pay rate: $28/Hour

Must have valid work authorization in the US (We do not sponsor VISAs at this time)

Responsibilities

    • Conduct data annotation and QA
    • Collaborate with team members on-site
    • Ensure secure handling of data and maintain confidentiality

Requirements

    • Proficiency in English (US) and Spanish (Spain) at a fully fluent level is required.
    • At least 1-2 years of data annotation experience
    • Visual annotation experience is a plus (Video & Image)
    • Experience in quality assurance
    • Excellent communication skills
    • Augmented Reality experience is a plus
    • No technical skills needed, but a linguistic background and/or formal QA experience is required
    • Ability to work 100% on-site
    • Strong attention to detail and problem-solving skills

Benefits

    • Paid Sick Time
    • Employee Assistance Program  
    • Following eligibility requirements: Medical Insurance
    • Dental Insurance
    • Vision Insurance
    • HSA
    • Voluntary Life Insurance
    • Accident, Critical Illness, Hospital Indemnity Insurance
    • 401(k) Retirement Plan

$28 - $28 an hour

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.

To know more details (Click here)

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.


Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.