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Ai Annotation Writing Jobs in California (NOW HIRING)

AI Data Strategist

Redwood City, CA · On-site

$148K - $192K/yr

Strong written and verbal communication skills, with the ability to prioritize effectively in fast ... Exposure to annotation tooling such as Labelbox, Scale, CVAT, Encord, or Voxel51.

AI Data Operations Lead

Milpitas, CA · On-site

$145K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Recruit, develop, and retain a 20-50 person team across data collection, annotation, and ... needing to write code or design systems yourself. * Comfortable partnering closely with AI ...

AI Data Operations Lead

Milpitas, CA

$145K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Recruit, develop, and retain a 20-50 person team across data collection, annotation, and ... needing to write code or design systems yourself. * Comfortable partnering closely with AI ...

AI Data Operations Lead

Milpitas, CA · On-site

$145K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Recruit, develop, and retain a 20-50 person team across data collection, annotation, and ... needing to write code or design systems yourself. * Comfortable partnering closely with AI ...

AI/ML Evaluation Specialist, Human Data

Cupertino, CA

$144K - $263K/yr

  • Medical

  • Dental

  • Retirement

... annotation, and human evaluation efforts across Apple Music, App Store, TV+, Podcasts, and Books ... written and verbal communication skills; able to translate technical concepts for non-technical ...

Senior Language Engineer

San Francisco, CA · On-site

$200K - $290K/yr

  • Medical

  • Dental

  • Vision

ABOUT RETELL AI Retell AI is using first-principles thinking to reimagine the call center with ... Coordinate and manage a human annotation workforce: author guidelines, define quality targets, and ...

Advance Otter's conversational knowledge engine through better knowledge extraction, annotation ... Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written ...

Showing results 41-60

Ai Annotation Writing information

What is an AI annotation writing?

An AI Annotation Writing job involves labeling, tagging, and annotating text data to help train machine learning models. This can include tasks like identifying sentiment, correcting grammar, or categorizing content. The goal is to provide high-quality data that improves the accuracy of AI systems. Strong language skills, attention to detail, and familiarity with AI concepts are often required for this role.

What are the primary day-to-day responsibilities in AI annotation writing?

In an AI Annotation Writing role, your daily tasks generally include reading and understanding various types of content, applying accurate labels or tags, and sometimes providing written explanations or classifications based on specific project guidelines. You may work individually or as part of a larger annotation team, often collaborating with data scientists or project managers to clarify requirements and resolve ambiguous cases. Attention to detail is crucial, as the quality of your annotations directly impacts the performance of the resulting AI models. Projects and content types may vary, offering opportunities to develop expertise in different domains and annotation methods.

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

To excel in AI Annotation Writing, you should have strong attention to detail, excellent written communication skills, and a good understanding of data labeling concepts, typically supported by experience in content creation or data management. Familiarity with annotation tools like Labelbox, Prodigy, or similar software, as well as basic knowledge of data privacy standards, is often required. Diligence, patience, and the ability to follow detailed guidelines help differentiate top performers in this role. These skills are critical for producing high-quality, accurate labeling data that is foundational to effective AI and machine learning model training.

What are the most commonly searched types of Ai Annotation Writing jobs in California?

The most popular types of Ai Annotation Writing jobs in California are:

What are popular job titles related to Ai Annotation Writing jobs in California?

For Ai Annotation Writing jobs in California, the most frequently searched job titles are:

What job categories do people searching Ai Annotation Writing jobs in California look for?

The top searched job categories for Ai Annotation Writing jobs in California are:

Infographic showing various Ai Annotation Writing job openings in California as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AIML - Applied AI Scientist, Image Autograder Systems, Evaluation

Apple

Cupertino, CA • On-site

Full-time

Posted 12 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

We are looking for an AI Scientist to join a centralized evaluation organization building the next generation of autograders across Apple's most visible image generation AI features.
In this role, you will develop autograders that reliably score image output quality at scale.
Your work directly influences the quality of AI experiences used by hundreds of millions of Apple customers.
This is a high-impact individual contributor role at the intersection of genAI evaluation, genAI model training, data quality, and AI engineering.
You will work closely with senior AI scientists, MLEs, data annotation teams, and feature engineers in a fast-moving, technically rigorous environment.
Description
In this role you will focus on Autograder research, training and adoption.
Collaborate with AI feature teams, eval design teams, and annotation teams to refine feature requirements, grading rubrics and gold annotation sets.
Develop, evaluate, and iterate on grading prompts to align autograder behavior with grading rubrics and the gold sets.
Identify when prompt tuning reaches its limits and apply other advanced techniques such as fine-tuning to close remaining grading accuracy gaps.
Design insightful analysis to measure and explain Autograder quality.
Collaborate with MLEs and feature teams on autograder deployment and adoption.
Develop scalable system to speed up autograder training processes.
Minimum Qualifications
Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
Deep understanding of visual-language models.
Familiarity with image quality assessment - perceptual quality dimensions, evaluation metrics, and rubric design.
Proficiency in Python; capable of writing well-structured, production-ready model code.
Strong communication skills in explaining autograder quality and driving autograder adoption with partner teams.
Preferred Qualifications
1+ years of industry experience in building VLM-based products.
Familiarity with autograder and evaluator-specific concepts: grading accuracy, agreement with human raters, calibration, and rubric design.
Strong expertise in prompt tuning and fine tuning for VLMs.
Demonstrated ability to read AI literature and translate it into applied autograder experiments.
Prior experience in building agentic system to scale autograder training/validation.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976