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Text Annotation Jobs in California (NOW HIRING)

... annotation, and evaluation pipelines that improve model quality across visual quality, prompt adherence, identity preservation, naturalness, and visual text generation. The ideal candidate will bring ...

... and data annotation tasks, prompt engineering, rule-based classifier encoding, and quality ... and text data • Familiar with Large Language Models (LLMs), prompt engineering and their ...

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

Research Engineer, Data

San Francisco, CA · On-site

$200K - $350K/yr

Experience with generative models (speech, text, or multimodal). * Ability to help guide human annotation and evaluation across multiple languages. * Strong applied ML background with a focus on data ...

Expert Audio Transcriber, Persian

San Francisco, CA · On-site

$23.50 - $30.75/hr

Transcribe audio recordings into accurate, time-aligned written text following Perle's project ... Comfortable with web-based annotation platforms and variable-speed audio playback * Reliable high ...

Data Solutions Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... text, reasoning, and multimodal domains • Troubleshoot dataset quality issues and identify ... annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA, with ...

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Text Annotation information

What are 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 the Text Annotation position, 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 is a Text Annotation job?

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 most commonly searched types of Text Annotation jobs in California? The most popular types of Text Annotation jobs in California are:
What are popular job titles related to Text Annotation jobs in California? For Text Annotation jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Text Annotation jobs? Cities in California with the most Text Annotation job openings:

Data Engineer III (6193)

itD Tech

Menlo Park, CA • On-site

$35 - $39/hr

Full-time

Medical, Dental, Vision, Life, Retirement

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


Job description

Data Engineer III
itD is seeking a Senior AI Data Engineer III to build and scale AI-augmented data infrastructure that powers next-generation image generation models. This role sits at the intersection of Data Engineering and Machine Learning Systems, driving the development of large-scale data curation, annotation, and evaluation pipelines that improve model quality across visual quality, prompt adherence, identity preservation, naturalness, and visual text generation. The ideal candidate will bring deep expertise in AI-focused data engineering and a proven track record of building production-scale pipelines that integrate machine learning inference into data workflows.
Location: Hybrid Onsite - Menlo Park, CA (required onsite collaboration with engineers and researchers)
Pay Rate: $35 - $39 per hour, depending on experience.
Duration: 5+ months
We provide comprehensive medical benefits, a 401k plan, paid holidays, and more.
Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship.
Responsibilities
  • Design, build, and maintain AI-augmented data pipelines that combine traditional data transformations with machine learning model inference at billion-row scale.
  • Develop and optimize systems for remote model inference orchestration, including batching, asynchronous execution, retry logic, throughput management, and graceful failure handling.
  • Build and maintain scalable embedding generation, storage, indexing, and retrieval pipelines to support AI model training and evaluation.
  • Curate and manage large-scale image datasets using SQL and model-derived signals, ensuring data quality, governance, compliance, and operational efficiency.
  • Design and operate LLM-assisted annotation workflows that automate data labeling while measuring and improving annotation quality.
  • Develop reusable frameworks, tooling, and pipeline components that enable broader engineering teams to efficiently build AI-powered data workflows.
  • Partner closely with engineers, researchers, and cross-functional stakeholders to support image generation model development and evaluation initiatives.

Internal Responsibilities
  • Attend regular internal practice community meetings.
  • Collaborate with your itD practice team on industry thought leadership.
  • Complete client case studies and learning material (blogs, media material).
  • Build out material to contribute to the Digital Transformation practice.
  • Attend internal itD networking events (in person and virtual).
  • Work with leadership on career fast-track opportunities.

Required Qualifications and Skills
  • 5+ years of experience in Data Engineering, ML Engineering, or a hybrid role involving both data pipelines and machine learning inference systems.
  • Strong software engineering fundamentals, including Python, data structures, concurrency, and asynchronous programming.
  • Advanced SQL expertise, including complex query development, query optimization, and large-scale data processing.
  • Experience with pipeline orchestration frameworks such as Airflow, Dataswarm, or equivalent platforms.
  • Proven experience integrating machine learning models into production data pipelines, including inference endpoint management, model versioning, batching, and failure recovery.
  • Demonstrated track record of building and operating production-scale data pipelines that invoke machine learning models at scale.
  • Proficiency with AI-assisted coding tools such as Copilot, Cursor, Codex, or similar AI development agents.
  • Strong written and verbal communication skills with the ability to collaborate effectively across technical and business teams.

Preferred Qualifications and Skills
  • Experience generating, storing, indexing, and querying vector embeddings using technologies such as FAISS, Milvus, or similar platforms.
  • Familiarity with content understanding models including image classification, object detection, OCR, NSFW detection, and aesthetic scoring systems.
  • Experience leveraging LLMs for data annotation, data cleaning, evaluation, or prompt engineering workflows.
  • Knowledge of generative AI technologies, including diffusion models, image generation systems, and evaluation metrics such as FID and CLIP Score.
  • Previous experience leading AI-focused technology companies.
  • Experience supporting large-scale image generation or multimodal AI initiatives.

Education
  • Bachelor's degree or higher in Computer Science, Data Engineering, Machine Learning, or a related STEM field required.

Company Description
About itD: We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers. This permeates down to how we approach every interaction, on every project, for every client. You'll thrive here if you are a dynamic self-starter, a difference-maker or someone who wants to deliver great results, without constraints.
The itD Digital Experience: Joining us means you'll be part of our global community, you have a say about your own career journey, and you'll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries. itD offers our employees excellent benefits such as medical, dental, vision, life insurance, paid holidays, 401K + matching, networking & career learning and development programs. We are growing and we want to see you grow! Visit https://itdtech.com/careers to learn more about what working at itD can mean for you.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. itD is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please contact us at recruiting@itdtech.com and let us know the nature of your request and your contact information.
Additional Info
Dynamic environment in a culture of respect, empowerment and recognition for a job well done, apply today!