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Gig Online Data Annotation information

Are data annotations still hiring?

Data annotation jobs, including gig online data annotation roles, are still available as companies continue to require labeled data for machine learning and AI projects. These positions often involve tasks like image, text, or audio annotation and may be flexible or remote, with some requiring basic skills in data handling and attention to detail.

Is it hard to get hired for data annotation?

Getting hired for a data annotation job can vary depending on the company and requirements, but many positions are entry-level and require basic computer skills and attention to detail. Having familiarity with annotation tools and a reliable internet connection can improve your chances, though some employers may conduct simple assessments or training before hiring.

Can I do data annotation with no experience?

Gig online data annotation jobs often do not require prior experience, as training is typically provided. Basic computer skills and attention to detail are usually sufficient to get started, making it accessible for beginners. Familiarity with annotation tools can be helpful but is not always mandatory.

Does data annotation actually pay you?

Data annotation jobs, including gig online data annotation, typically pay per task or hour, with rates varying depending on the platform and complexity of the work. Many platforms offer payment through direct deposit or digital wallets, and consistent work can provide a reliable income stream for annotators with basic skills and attention to detail.

What is the difference between Gig Online Data Annotation vs Data Labeler?

AspectGig Online Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote or on-site, flexible hours
Industry UsageAI training, machine learning projectsAI, machine learning, data processing
Job FocusAnnotating data for AI modelsLabeling data for machine learning

Gig Online Data Annotation and Data Labeler roles both involve preparing data for AI systems, often requiring similar skills and work environments. The main difference lies in terminology and scope; 'Gig Online Data Annotation' emphasizes the gig economy aspect, while 'Data Labeler' is a broader industry term. Both roles are essential for AI development and typically offer remote, flexible work options.

More about Gig Online Data Annotation jobs
What cities are hiring for Gig Online Data Annotation jobs? Cities with the most Gig Online Data Annotation job openings:
What states have the most Gig Online Data Annotation jobs? States with the most job openings for Gig Online Data Annotation jobs include:
What job categories do people searching Gig Online Data Annotation jobs look for? The top searched job categories for Gig Online Data Annotation jobs are:
Gig Online Data Annotation jobs near you
Infographic showing various Gig Online Data Annotation job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 19% Full Time, 17% Part Time, 19% Contract, 42% Nights, and 1% Summer. Highlights an 34% Physical, and 66% Remote job distribution.

Data Annotation reviewer (QA) (GenAI/LLM)

Pro Integrate

Louisville, KY • On-site

Other

Posted 3 days ago

Job description

Data Annotation reviewer (QA) (GenAI/LLM) role - Onsite -

Location: Louisville, KY

Duration: 2+ months with possibility if extensions

Role Description

As QA at Centific specializing in Generative AI Data Services, you will play a pivotal role in driving the success of our cutting-edge projects focused on building and enhancing Large Language Models (LLMs). Your primary responsibility will be to adhere to quality review instructions, pass, review or reject human-labeled data crucial for training AI models. In this dynamic and evolving field, you will be at the forefront of bridging the gap between human expertise and artificial intelligence, contributing significantly to the development of next-generation AI technologies. As a problem solver and highly organized lead, you will collaborate closely with internal teams and a global workforce, ensuring seamless communication, efficient execution, and successful delivery of projects.

Task Overview:
As a Data Annotation Reviewer, you will evaluate data annotation and bounding box responses from annotators. Your job is to ensure the correct annotation was applied within the input parameters match and the output is accurate and relevant according to the guidelines.

Key Responsibilities:

  • Review annotations to confirm they match the intended purpose of the guidelines.
  • Validate that the annotator answer is appropriate for the chosen function.
  • Check if the Annotation output includes all necessary information to filfull the guidelines.
  • Identify and assess individual data points in the AI response for accuracy and relevance.
  • Provide comments and feedback to clarify decisions or flag inconsistencies.

Language Proficiency:

  • Native level fluency in English.
  • Strong written and verbal communication skills in English.

Skills and Responsibilities

  • Assisting in the development and implementation of quality assurance policies.
  • Collaboration on project guidelines and supplemental learning materials.
  • Ensure compliance with client-specific requirements and performance standards in quality aspects of project execution.
  • Provide feedback and recommendations to PM team regarding UI design.
  • Review annotators and arbitrators weekly via the production monitoring process.
  • Review metrics and spot check individual tasks.
  • Record and flag quality issues.
  • Conduct end-of-day reporting to ensure smooth project handoffs and continuity across shifts.

Key Qualifications:

  • Located in Lousiville, KY and ability to work at client- on-site.
  • Required: Diploma and at least 2-3 years of experience in quality management, particularly in data services for AI.
  • Desired: Bachelor's degree, Linguistics or other related field of study
  • Experience writing data-labeling project guidelines and materials (or similar work in another field).
  • Ability to create useful and impactful insights for annotators and clients.
  • Basic familiarity with Microsoft Office 365 including Outlook, Excel, and PowerPoint.
  • General knowledge of online communication
  • Excellent communication both written and spoken.
  • Collaborative and solution focused.
  • Confidence and the ability to give/take feedback.
  • Ability to follow project directions and perform time bound tasks accurately and efficiently.
  • Ability to maintain quality while performing repetitive tasks.
  • Detail-oriented and problem-solving mindset.
  • Organized and focused enough to work independently as a role player within a team environment.

Availability:

  • Minimum of 30 hours per week.
  • Willingness to participate in training sessions and demos.

Certifications:

  • Successful completion of required certifications is mandatory.

Thanks and Regards,

Surbhi Yadav

Recruiter, Pro Integrate Consulting

New York | London | Bangalore

ISO 9001 and ISO 27001 Certified Company

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