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Text Annotation Jobs in Napa, CA (NOW HIRING)

... text and audio modalities. * Engineer web-scale data pipelines and apply synthetic generation ... Coordinate and manage a human annotation workforce: author guidelines, define quality targets, and ...

Experience working with large datasets, annotation tools, and model evaluation pipelines ... Ability to interpret unstructured data (text, transcripts, user sessions) and derive meaningful ...

... text, and 3D. We combine exabyte-scale data infrastructure, novel multimodal understanding ... Source, onboard, and manage a distributed human workforce for data annotation, curation, and ...

Experience working with large datasets, annotation tools, and model evaluation pipelines ... Ability to interpret unstructured data (text, transcripts, user sessions) and derive meaningful ...

Senior Product Manager

San Francisco, CA · On-site +1

$140K - $180K/yr

... text, and business workflows. Troveo indexes, enriches, and packages this high-quality data into ... annotation, and downstream delivery. * Help design processing pipelines and logic tailored to ...

Own the roadmap for a key part of our AI Platform, potentially including RAG services, text and ... Drive decisions on model performance, annotation strategy, and integration with continuous ...

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Text Annotation information

What is a text annotation?

A Text Annotation job involves labeling and categorizing text data to help train machine learning models. Annotators add tags, metadata, or classifications to text, enabling AI systems to understand language patterns. This work is essential for applications like chatbots, search engines, and sentiment analysis. Strong attention to detail and language proficiency are key skills for this role.

What are the typical day-to-day responsibilities for someone working in text annotation?

Text Annotation professionals spend much of their day reading and labeling text data according to specific guidelines, ensuring that information is correctly categorized and flagged. This can involve highlighting entities, identifying sentiments, tagging parts of speech, or annotating complex relationships within text documents. They frequently collaborate with project managers, data scientists, and quality assurance teams to clarify instructions and maintain data consistency. The role often involves independent work, but regular check-ins and feedback sessions help maintain accuracy and enhance understanding of evolving annotation requirements. This combination of independent and collaborative tasks makes the position dynamic and integral to successful AI or NLP project outcomes.

What are the key skills and qualifications needed to thrive in text annotation, and why are they important?

Strong language proficiency, attention to detail, and critical thinking are essential skills for succeeding as a Text Annotation specialist, often supported by a bachelor's degree in linguistics, computer science, or a related field. Familiarity with annotation tools like Labelbox, Prodigy, or the Amazon Mechanical Turk platform, as well as knowledge of data privacy and handling protocols, is typically required. Excellent communication, self-motivation, and the ability to focus on repetitive tasks help individuals excel in this position. These capabilities ensure high-quality, consistent data labeling for machine learning models, supporting the development of cutting-edge AI solutions.

What are popular job titles related to Text Annotation jobs in Napa, CA?

For Text Annotation jobs in Napa, CA, the most frequently searched job titles are:

What cities near Napa, CA are hiring for Text Annotation jobs?

Cities near Napa, CA with the most Text Annotation job openings:

Infographic showing various Text Annotation job openings in Napa, CA as of July 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 74% In-person, and 26% Remote job distribution.

Flexible remote AI work. Your schedule. Paid weekl

San Pablo, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

What You'll Do

Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.

Who We're Looking For

Detail-oriented individuals who take quality seriously and can follow detailed instructions consistently. Strong readers and writers with good judgment are a great fit. Prior experience in data labeling, annotation, research, writing, or operations is helpful but not required.

Requirements
  • Strong attention to detail
  • Clear written communication skills
  • Reliable internet connection and computer
  • Ability to work independently and meet deadlines
  • Basic familiarity with web-based tools or online forms
What We Offer
  • Remote, flexible contract work
  • Clear guidelines and training
  • Performance feedback and opportunities to grow
  • A mission-driven team focused on accuracy and quality

Ready to apply? Join a team helping build the data foundation behind better technology.

Workada is an Equal Opportunity Employer.