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Seasonal Online Data Annotation Jobs (NOW HIRING)

Task Overview:   As a Data Annotation Reviewer, you will evaluate data annotation and bounding ... General knowledge of online communication * Excellent communication both written and spoken.

QA Specialist

Louisville, KY · On-site

$15 - $16/hr

Task Overview:   As a Data Annotation Reviewer, you will evaluate data annotation and bounding ... General knowledge of online communication * Excellent communication both written and spoken.

... online -- to assess where and why systems are underperforming and quantify the impact of ... annotation guidelines and ensuring label quality. • Evaluate and apply the appropriate approach ...

Build measurement and evaluation frameworks - both offline and online - to assess where and why ... Experience designing data annotation workflows, labeling guidelines, or label quality processes is ...

Build measurement and evaluation frameworks - both offline and online - to assess where and why ... Experience designing data annotation workflows, labeling guidelines, or label quality processes is ...

Build measurement and evaluation frameworks -- both offline and online -- to assess where and why ... Experience designing data annotation workflows, labeling guidelines, or label quality processes is ...

Data Scientist II

Chicago, IL · On-site +1

$130K - $150K/yr

Build measurement and evaluation frameworks -- both offline and online -- to assess where and why ... Experience designing data annotation workflows, labeling guidelines, or label quality processes is ...

Tamil Translator (Remote) | Sigma AI

$45K - $58K/yr

Sigma is a leading global technology company specializing in data collection and annotation for ... online platform available 24/7. This opportunity is offered for freelancers under a commercial ...

Sigma is a leading global technology company specializing in data collection and annotation for ... All tasks are remote , performed through an online platform available 24/7. This opportunity is ...

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Seasonal Online Data Annotation information

What is the difference between Seasonal Online Data Annotation vs Data Labeling Specialist?

AspectSeasonal Online Data AnnotationData Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar, often no formal certification required
Work EnvironmentRemote, flexible hours during peak seasonsRemote or on-site, consistent work environment
Industry UsageUsed mainly in AI training for seasonal projectsUsed broadly across AI, machine learning, and data science
Search & Comparison IntentUnderstanding seasonal data annotation rolesUnderstanding general data labeling roles

Seasonal Online Data Annotation involves temporary, project-based tasks focused on annotating data for specific seasonal AI applications. Data Labeling Specialists perform ongoing data annotation tasks across various projects. While both roles require attention to detail and similar skills, Seasonal Online Data Annotation is typically temporary and project-specific, whereas Data Labeling Specialists often have more consistent, long-term roles.

What are some common challenges faced in a Seasonal Online Data Annotation role, and how can I prepare for them?

One of the main challenges in a Seasonal Online Data Annotation role is maintaining consistent accuracy and attention to detail over long periods of repetitive work. Deadlines can be tight, especially during peak project periods, making time management crucial. Additionally, guidelines for annotation tasks may change or require frequent clarification, so adaptability and clear communication with supervisors are important. To prepare, familiarize yourself with annotation tools, practice following detailed instructions, and develop strategies to stay focused and motivated during repetitive tasks.

What are the key skills and qualifications needed to thrive as a Seasonal Online Data Annotation specialist, and why are they important?

A strong attention to detail, proficiency in data entry, and basic computer literacy are essential for success as a Seasonal Online Data Annotation specialist, typically requiring at least a high school diploma. Familiarity with annotation platforms, spreadsheets, and quality assurance tools is often expected. Excellent time management, adaptability, and communication skills help individuals work efficiently and collaborate remotely. These abilities ensure high-quality, accurate data labeling that directly impacts machine learning and AI model performance.

What are seasonal online data annotation jobs?

Seasonal online data annotation jobs involve labeling or categorizing data—such as images, text, or audio—for machine learning purposes during specific peak periods. These roles are typically temporary and align with times of increased demand, such as during product launches or holidays. Data annotators work remotely to identify and tag relevant features in datasets, helping companies train and improve AI systems. No advanced technical skills are usually required, but attention to detail and reliability are important. Many companies hire seasonal annotators to quickly scale up their data processing capabilities for short-term projects.
More about Seasonal Online Data Annotation jobs
What cities are hiring for Seasonal Online Data Annotation jobs? Cities with the most Seasonal Online Data Annotation job openings:
What are the most commonly searched types of Seasonal Data Annotation jobs? The most popular types of Seasonal Data Annotation jobs are:
What states have the most Seasonal Online Data Annotation jobs? States with the most job openings for Seasonal Online Data Annotation jobs include:
Infographic showing various Seasonal 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 2 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