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Text Annotation Jobs in Martinez, CA (NOW HIRING)

Troveo AI Inc

Senior Product Manager

San Francisco, CA · On-site +1

$140K - $180K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... 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 ...

EvenUp Inc

Product Manager, AI Entities

San Francisco, CA · On-site

$177K - $209K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

New

EvenUp

Product Manager, AI Entities

San Francisco, CA · Remote

$177K - $209K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

New

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Showing results 21-36

All JobsText Annotation JobsText Annotation Jobs in Martinez, CA

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 cities near Martinez, CA are hiring for Text Annotation jobs?

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

Text Annotation jobs near you
Infographic showing various Text Annotation job openings in Martinez, CA as of August 2026, with employment types broken down into 69% Full Time, 15% Part Time, 2% Temporary, and 14% Contract. Highlights an 71% In-person, and 29% Remote job distribution.

Product Engineer - Full Stack

Hirevouch

San Francisco, CA • On-site, Remote

Full-time

Re-posted 7 days ago

Job description

We're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.
About Us
We're the only company offering three integrated solutions for frontier AI development:
  1. Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale
  2. Frontier Data Labeling Service: Specialized data labeling through Aligner, leveraging subject matter experts for next-generation AI models
  3. Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling

Why Join Us
  • High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.
  • Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.
  • Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.
  • Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.
  • Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.

Fresh grads are encouraged to apply!
Role Overview
We're looking for a Product Engineer to join our Perception team, where you'll help build easy-to-use and efficient tools that support the development of cutting-edge AI systems like those for generative AI and computer vision. You'll work on both the frontend and backend, creating UI components and reliable systems that help our customers train better AI models.
As a product-minded engineer, you'll work directly with stakeholders to bring ideas to life, build technical solutions from conception to production that drive business impact, and make sure our platform runs smoothly. You'll innovate and push technological boundaries in order to meet the rapidly evolving needs of our customers, helping them create AI models that can work with multi-modal data.
Your Impact
  • Support AI development by building interactive and reliable tools that help train AI models using various types of data, including text, images, audio, and video.
  • Build new features by working with a cross-functional team to create, test, and improve the tools our customers use every day.
  • Solve technical challenges by thinking through complex and ambiguous problems and coming up with practical, effective solutions.
  • Help customers succeed by assisting our support team in resolving issues and improving the overall user experience.
  • Keep systems running smoothly by participating in on-call rotations to monitor and fix any issues that arise.
  • Make the team better by suggesting and implementing ways to improve how we work and build software.
  • Share your knowledge by writing and reviewing technical documentation to help the team and future developers.

What You Bring
  • 2+ years of experience as a full-stack engineer, working on both frontend user interfaces and backend systems.
  • Strong skills in TypeScript, Node.js, and GraphQL, and familiarity with Python, Kubernetes, and Google Cloud tools like MySQL, Spanner, GCS, and PubSub.
  • 2+ years of experience using frontend frameworks like React/Redux, and the ability to turn designs into interactive, responsive web pages.
  • A proactive attitude, taking ownership of your work and looking for ways to make the product and team better.
  • Comfort working in a fast-paced, agile environment, where priorities can shift, and quick problem-solving is key.
  • A focus on writing clean, well-tested code, and delivering your work on time.

Bonus Points
  • Experience building tools for AI applications, like evaluating large language models or monitoring AI performance.
  • Knowledge of natural language processing (NLP) techniques.

Apply