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Llm Annotation Jobs in California (NOW HIRING)

Senior Staff Tech Lead, VLM

Palo Alto, CA · On-site

$265K - $331K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proven track record developing VLM/LLM-related techniques for data mining, long-tail distributions ... annotation vendors. System engineering: Strong proficiency in Python alongside a solid ...

Senior Staff Tech Lead, VLM

Palo Alto, CA · On-site

$265K - $331K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Proven track record developing VLM/LLM-related techniques for data mining, long-tail distributions ... annotation vendors. • System engineering: Strong proficiency in Python alongside a solid ...

... with LLM assistance Preferred : • 1+ year in AI data operations (RLHF, annotation, model evaluation) • STEM background or strong technical fluency • Python & REACT working knowledge • ...

Product Lead, AI/ML (Evals)

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Own the standards for LLM judges, rule-based evaluators, human annotation, and online monitoring, and be clear about where each belongs. * Make model selection fast and routine. Give teams a ...

Delivery Lead

San Francisco, CA · Remote

$110K - $140K/yr

... LLM assistance Preferred Qualifications * 1+ year in AI data operations (RLHF, annotation, model evaluation) * STEM background or strong technical fluency * Python & REACT working knowledge

Delivery Lead

San Francisco, CA · On-site

$110K - $140K/yr

... LLM assistance Preferred Qualifications * 1+ year in AI data operations (RLHF, annotation, model evaluation) * STEM background or strong technical fluency * Python & REACT working knowledge

Product Lead, AI/ML (Evals)

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Own the standards for LLM judges, rule-based evaluators, human annotation, and online monitoring, and be clear about where each belongs. * Make model selection fast and routine. Give teams a ...

Senior Software Engineer - NPC Behavior

San Mateo, CA · On-site

$139K - $183K/yr

We are using technologies from LLM, Imitation Learning, Reinforcement Learning, Behavior Trees ... annotation tools and work on inference set ups within and on top of our game engine. Join us if you ...

Data Engineer, Scientific Data Ingestion

San Francisco, CA · On-site

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... annotation updates, batch-effect correction, etc.). Use LLM-driven and classical data-engineering tools to structure "semi-structured" or messy tabular data - extracting metadata, inferring column ...

... annotation and evaluation work * Transform complex task specifications into well-structured ... that can evaluate LLM responses. Your work directly impacts the quality of data that trains ...

Data Engineer, Scientific Data Ingestion

San Francisco, CA · On-site

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... or annotation updates, batch-effect correction, etc.). Use LLM-driven and classical data-engineering tools to structure "semi-structured" or messy tabular data -- extracting metadata, inferring ...

Applied AI Software Engineer

San Francisco, CA · On-site +1

  • Medical

  • Retirement

  • PTO

This role is ideal for someone with deep experience evaluating LLM-based agents at scale. You'll ... annotation pipelines, and experiment tracking. * You bring structure to ambiguity and know how to ...

Delivery Lead

San Francisco, CA · On-site

$110K - $140K/yr

... LLM assistance Preferred Qualifications * 1+ year in AI data operations (RLHF, annotation, model evaluation) * STEM background or strong technical fluency * Python & REACT working knowledge

Showing results 41-60

Llm Annotation information

How to become an Llm annotator?

To become an LLM annotator, candidates typically need strong language skills, attention to detail, and familiarity with data annotation tools. Many positions require a high school diploma or equivalent, and some may prefer prior experience in data labeling or related fields. Training is often provided by employers to ensure accurate annotation of large language model datasets.

What is the difference between Llm Annotation vs Data Labeler?

AspectLlm AnnotationData Labeler
Required CredentialsBasic computer skills, sometimes familiarity with AI toolsBasic skills, often on-the-job training
Work EnvironmentRemote or office-based, tech-focusedRemote or on-site, varied industries
Industry UsageAI, machine learning, NLP projectsVarious industries including marketing, healthcare, and tech
Search & Comparison IntentUnderstanding roles in AI data preparationGeneral data labeling tasks

In summary, Llm Annotation involves specialized annotation for large language models, often requiring familiarity with AI tools, while Data Labeler is a broader role focused on labeling data across multiple industries with minimal technical requirements.

What is LLM annotation?

LLM annotation refers to the process of labeling or tagging data specifically for training and evaluating large language models (LLMs) like GPT or BERT. Annotators read text and apply labels, correct errors, or provide feedback to help improve the model's understanding and performance. This work is crucial for supervised learning, as well-annotated datasets help LLMs better recognize patterns, context, and meaning in human language. LLM annotation can involve tasks such as sentiment analysis, named entity recognition, or instruction following. Annotators often use specialized platforms or tools to complete their tasks efficiently and accurately.

What are the key skills and qualifications needed to thrive as an LLM annotation specialist?

To thrive as an LLM Annotation Specialist, you need strong analytical skills, attention to detail, and a background in linguistics, computer science, or a related field. Familiarity with annotation platforms, natural language processing (NLP) tools, and data labeling systems is typically required. Excellent communication, critical thinking, and the ability to follow guidelines precisely are valuable soft skills for this role. These skills ensure high-quality, accurate data annotation, which directly impacts the performance and reliability of large language models.

What are some common challenges faced by LLM annotation specialists, and how can they be addressed?

LLM Annotation specialists often encounter challenges such as interpreting ambiguous language data, maintaining annotation consistency across complex datasets, and keeping up with evolving guidelines. These can be addressed by participating in regular team syncs to clarify guidelines, using annotation tools with built-in quality checks, and collaborating closely with project leads and fellow annotators. Continuous learning and open communication help ensure high-quality, reliable data annotation and support professional growth within the AI and NLP fields.

What cities in California are hiring for Llm Annotation jobs?

Cities in California with the most Llm Annotation job openings:

Infographic showing various Llm Annotation job openings in California as of August 2026, with employment types broken down into 83% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 76% Physical, 5% Hybrid, and 19% Remote job distribution.

Search Safety Operations Intern(TikTok-Platform Responsibility-Search)- 2027 Summer

TikTok

San Jose, CA • On-site

$17.50 - $23.50/hr

Temporary, Internship

Medical, Life

Posted 4 days ago


TikTok rating

8.2

Company rating: 8.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

107th of 244 rated software companies


Job description

Responsibilities
About the Team The Safety Product team is at the forefront of building and optimizing content safety systems. With a focus on optimising and advancing content safety, we leverage advanced large language models to enhance review efficiency, risk control, and user trust. Working closely with business and technical stakeholders, we deliver scalable solutions that keep pace with rapid global growth. We are seeking a passionate and detail-oriented Search Safety PM Intern to join our team and play a pivotal role in safeguarding the health and security of our search business. Your core mission will be to support the development and training of next-generation large language models. In this role, you will work closely with the team to build high-quality training resources, design effective prompts, and generate large-scale labeled datasets that directly power model learning and performance. This position sits at the intersection of content understanding, language, and applied AI. You will leverage strong analytical thinking and language skills to transform complex real-world content into structured, high-quality training data for LLMs. Your work will play a foundational role in shaping model behavior, alignment, and real-world usability. We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals. Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted. Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates. Responsibilities LLM Training Data & Knowledge Base Development - Training Corpus Construction: Assist in building and maintaining high-quality datasets and knowledge bases for new LLM training initiatives, ensuring accuracy, diversity, and contextual richness. - Label System Design & Scaling: Help design labeling frameworks and taxonomies, and generate large-scale, high-consistency labeled datasets to support supervised and reinforcement learning workflows. - Data Generation & Curation: Produce, review, and refine large volumes of training data based on defined standards, use cases, and evaluation criteria. Prompt Design & Model Interaction - Prompt Writing & Optimization: Draft, iterate, and optimize prompts for different training and evaluation scenarios, ensuring clarity, coverage, and alignment with model objectives. - Model Behavior Analysis: Analyze model outputs to identify gaps, biases, or failure patterns, and translate insights into improved prompts or data requirements. - LLM Familiarity & Application: Apply a strong understanding of LLM capabilities and limitations to design data and prompts that meaningfully improve model performance. Content Understanding & Quality Assurance - Content Interpretation: Deeply understand complex content across domains, identify key signals, intent, and nuances, and convert them into structured training inputs. - Quality Control: Conduct quality reviews on datasets, labels, and prompts, ensuring consistency, logical soundness, and adherence to guidelines. - Iteration & Improvement: Continuously refine data standards and workflows based on model feedback and project needs.
Qualifications
Minimum Qualifications - Currently pursuing an Undergraduate/Master's in computer science, statistics, information management, data science or a related discipline. - Strong Content Sensitivity & Analytical Thinking: Excellent ability to understand, interpret, and structure complex textual content, with high attention to detail and nuance. - Outstanding English Proficiency: Exceptional English writing and communication skills, with the ability to produce clear, precise, and logically structured content at scale. - LLM Awareness & Learning Agility: Strong interest in large language models, with the ability to quickly learn AI-related concepts, tools, and workflows and apply them in practice. - Ownership & Execution Ability: Highly responsible, self-driven, and capable of handling large volumes of work with consistency and quality. Preferred Qualifications - Humanities / Social Sciences Background: Currently pursuing or recently completed a major in humanities, social sciences, foreign languages, international relations, or related fields. - Prior experience in content annotation, data labeling, research assistance, or AI-related operations. - Experience interacting with LLMs (e.g., prompt engineering, evaluation, or content generation projects).
Job Information
[For Pay Transparency]Compensation Description (Hourly) - Campus Intern
The hourly rate range for this position in the selected city is $25- $25.
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

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