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Text Annotation Jobs in Burlingame, CA (NOW HIRING)

Experience designing, supporting, or optimizing annotation workflows or data processes that prioritize factual accuracy and data integrity * Familiarity with multimodal data (text + images, code, or ...

Human Data - Engineer

Palo Alto, CA · On-site

$144K - $270K/yr

Experience designing, supporting, or optimizing annotation tools, labeling interfaces, or data workflows that prioritize factual accuracy and data integrity * Familiarity with multimodal data (text ...

... across text, image, audio, video, and 3D data. • Work closely with data engineering and research teams to develop efficient data workflows, including collection, preprocessing, annotation ...

... across text, image, audio, video, and 3D data. • Work closely with data engineering and research teams to develop efficient data workflows, including collection, preprocessing, annotation ...

Experience designing, supporting, or optimizing annotation workflows or data processes that prioritize factual accuracy and data integrity * Familiarity with multimodal data (text + images, code, or ...

Human Data - Engineer

Palo Alto, CA · On-site

$144K - $270K/yr

Experience designing, supporting, or optimizing annotation tools, labeling interfaces, or data workflows that prioritize factual accuracy and data integrity * Familiarity with multimodal data (text ...

Experience designing, supporting, or optimizing annotation tools, labeling interfaces, or data workflows that prioritize factual accuracy and data integrity * Familiarity with multimodal data (text ...

Human Data Manager

Palo Alto, CA · On-site

$100K - $186K/yr

Experience designing, supporting, or optimizing annotation workflows or data processes that prioritize factual accuracy and data integrity * Familiarity with multimodal data (text + images, code, or ...

... 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 ...

... and data annotation tasks, prompt engineering, rule-based classifier encoding, and quality ... Experience working with speech and text data * Familiar with Large Language Models (LLMs), prompt ...

PhD level Linguist II

Burlingame, CA · On-site

$74K - $124K/yr

Create and refine text normalization and inverse text normalization processes. * Manage lexical and ... Monitor and track annotation queues to ensure timely completion and identify bottlenecks or delays.

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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 Burlingame, CA?

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

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

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

Infographic showing various Text Annotation job openings in Burlingame, CA as of August 2026, with employment types broken down into 41% Full Time, 31% Part Time, 5% Temporary, and 23% Contract. Highlights an 51% In-person, and 49% Remote job distribution.

Human Data Manager

Palo Alto, CA


SpaceXAI
Aerospace Product and Parts Manufacturing • 1 - 5K employees

8.7

Company rating: 8.7 out of 10

Based on 150 frontline employees who took The Breakroom Quiz

16th of 72 rated aerospace companies

Great coworkers

People enjoy working here

Good employer


$100K - $186K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 18 days ago


Job description

ABOUT THE ROLE:

You will ensure engineering teams get the right data they need-high-quality tasks and evaluations-by crafting and executing high-value Human Data projects. You sit at the intersection of model teams and data operations: partnering with engineering, designing projects that capture meaningful signals, and driving measurement of data impact. This is a hands-on role for people who understand training and evaluation deeply and want to influence data strategy.

RESPONSIBILITIES:
  • Partner with model and engineering teams to understand needs and translate them into high-value data projects and evaluation strategies.
  • Own end-to-end delivery of critical data and evaluation projects that capture meaningful training signals and support rapid model development.
  • Leverage AI agents and existing platforms to measure data effectiveness and quantify impact (data yield, eval lift, usage).
  • Maintain rigorous data integrity and truthfulness, including validation processes for factual accuracy; prioritize quality over quantity.
  • Research and apply techniques for data collection, annotation, generation, and multi-modal integration.
  • Shape Grok's behavior and domain performance through targeted data work; improve annotation workflows using agents and no/low-code approaches where helpful.
  • Manage plans that shape model behavior via data management, optimization, and analysis, including resources and timelines.
  • Act as a liaison between engineering, technical staff, and tutoring / Human Data teams to drive alignment and knowledge sharing.
  • Collaborate with Human Data Ops and stakeholders to scale projects, share learnings, and contribute to demand forecasting; report status, insights, and blockers for rapid decisions.
BASIC QUALIFICATIONS:
  • Bachelor's degree, or 4+ years of relevant experience in lieu of a degree
  • Experience collaborating with cross-functional teams (engineering, research, product, or annotation/operations groups)
  • Demonstrated experience analyzing datasets to identify trends, anomalies, quality issues, or integrity problems
PREFERRED SKILLS AND EXPERIENCE:
  • Degree in engineering, computer science, data analysis, or a related STEM discipline (Bachelor's or higher)
  • Direct experience curating, evaluating, or improving training or evaluation datasets for large language models or other AI/ML systems
  • Experience designing, supporting, or optimizing annotation workflows or data processes that prioritize factual accuracy and data integrity
  • Familiarity with multimodal data (text + images, code, or other modalities) or domain-specific data (science, mathematics, programming, recent events, etc.)
  • Experience with model or dataset evaluations focused on quality, truthfulness, or alignment with product goals
  • Comfort using AI agents, no/low-code tools, or light scripting (e.g., Python) to prototype workflows and measurement
  • Experience with SQL or other data analysis tools
ADDITIONAL REQUIREMENTS:
  • Weekend work may be required.
  • Travel to other SpaceXAI sites may be required.
COMPENSATION AND BENEFITS:

$100,000 - $186,000 USD

Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.


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About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US


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Pay

Benefits

Hours and flexibility

Workplace

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