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Seasonal Data Annotation Tech Jobs (NOW HIRING)

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$150K - $230K/yr

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 ...

Sees

Seasonal Data Engineer

San Francisco, CA · On-site

$75/hr

Responsible for identifying opportunities to enhance technology and innovation that will improve the effectiveness of the data and analytics platform. MINIMUM QUALIFICATIONS: * Bachelor's degree or ...

itD Tech

Data Engineer III (6193)

Menlo Park, CA · On-site

$35 - $39/hr

Experience leveraging LLMs for data annotation, data cleaning, evaluation, or prompt engineering workflows. * Knowledge of generative AI technologies, including diffusion models, image generation ...

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How much do seasonal data annotation tech jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for seasonal 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 as a Seasonal Data Annotation Tech, and why are they important?

To thrive as a Seasonal Data Annotation Tech, you need strong attention to detail, basic computer literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Experience with annotation platforms, spreadsheet software, and sometimes proprietary labeling tools is typically required. Reliability, time management, and the ability to follow precise instructions are standout soft skills in this role. These skills ensure accurate, high-quality data labeling, which is critical for training machine learning models and supporting AI development.

What are the main challenges Seasonal Data Annotation Techs face during peak project periods?

Seasonal Data Annotation Techs often experience high workloads during peak project periods, which can involve processing large volumes of data under tight deadlines. Maintaining accuracy and consistency while labeling or categorizing data is crucial, as even small errors can impact the quality of machine learning models. Techs must also adapt quickly to changes in project guidelines and collaborate with team members to resolve ambiguities. Staying focused and managing repetitive tasks efficiently are key to success in this fast-paced environment.

What is a Seasonal Data Annotation Tech?

A Seasonal Data Annotation Tech is a temporary employee who labels, tags, or categorizes data—such as images, audio, or text—to help train artificial intelligence and machine learning models. Their work ensures that algorithms can recognize patterns and make predictions accurately. These roles are typically available during peak business periods or large-scale data projects and often involve repetitive but detail-oriented tasks. Seasonal Data Annotation Techs usually work under supervision and may use specialized annotation tools or software. This job is important for improving the quality and reliability of AI systems.

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

AspectSeasonal Data Annotation TechData Labeling Specialist
CredentialsHigh school diploma or equivalent; training in annotation toolsHigh school diploma or equivalent; training in labeling software
Work EnvironmentTech companies, AI development teams, remote or on-siteTech firms, AI companies, remote or on-site
Industry UsageUsed during peak seasons for AI model trainingUsed for ongoing data labeling projects

Seasonal Data Annotation Tech typically works during specific peak periods to prepare data for AI models, often focusing on large batches. Data Labeling Specialists perform continuous data annotation tasks, often with more detailed labeling requirements. Both roles require familiarity with annotation tools but differ mainly in timing and project scope.

More about Seasonal Data Annotation Tech jobs
What cities are hiring for Seasonal Data Annotation Tech jobs? Cities with the most Seasonal Data Annotation Tech job openings:
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What job categories do people searching Seasonal Data Annotation Tech jobs look for? The top searched job categories for Seasonal Data Annotation Tech jobs are:
Seasonal Data Annotation Tech jobs near you
Infographic showing various Seasonal Data Annotation Tech job openings in the United States as of May 2026, with employment types broken down into 88% Full Time, 10% Part Time, 1% Temporary, and 1% Contract. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $47,512 per year, or $22.8 per hour.

Polish AI Evaluation & Data Annotation (Remote)

Crossing Hurdles

Poland, NY • On-site, Remote

Full-time

Posted 5 days ago

Job description

A technology evaluation company in New York seeks an individual proficient in Polish to evaluate AI model responses. Responsibilities include assessing personalization quality and designing creative multi-turn prompts. Candidates must have experience in data annotation or AI evaluation, strong analytical skills, and the ability to communicate clearly in writing.

This full-time role requires at least 4 hours of overlap with PST and the willingness to work remotely using a personal Google account. #J-18808-Ljbffr

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