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Prompt Data Annotation Ai Jobs in California (NOW HIRING)

YO AI Labs

AI Consulting Expert - Remote

Los Angeles, CA · Remote

$100 - $200/hr

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing * Business Communication * Content Review & Editing * Data Interpretation * Data Annotation * Fact Checking

Welo Data

Lead Gen AI Analyst

Santa Clara, CA · On-site +1

Rather than focusing on individual annotation work, you'll lead the day-to-day execution of AI data operations, partnering with annotators, quality teams, and cross-functional stakeholders to ensure ...

New

Sieve

Data Operations Lead

San Francisco, CA · On-site

... annotation, curation, and quality review • Build and improve QA processes to ensure data output meets the standards required by frontier AI labs • Own product ops for the data platform. Work with ...

Skild AI

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $150K/yr

... data annotation tools, dataset management, and augmentation techniques. • Familiarity with ... Skild AI develops artificial intelligence systems that enable robots to act in physical ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

... building data annotation and dataset management tools. Company : Figure is an AI robotics company that develops autonomous general-purpose humanoid robots. Founded in 2022, the company is ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

... building data annotation and dataset management tools. Company : Figure is an AI robotics company that develops autonomous general-purpose humanoid robots. Founded in 2022, the company is ...

Figure

Helix AI Engineer, Data Infrastructure

San Jose, CA · On-site

$126K - $165K/yr

... building data annotation and dataset management tools. Company : Figure is an AI robotics company that develops autonomous general-purpose humanoid robots. Founded in 2022, the company is ...

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All JobsPrompt Data Annotation Ai JobsPrompt Data Annotation Ai Jobs in California

Prompt Data Annotation Ai information

What is the difference between Prompt Data Annotation Ai vs Data Labeler?

AspectPrompt Data Annotation AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, often with AI teamsRemote or on-site, often with data teams
Industry UsageAI development, machine learning projectsData management, machine learning datasets
Job FocusAnnotating data for AI prompts and modelsLabeling data for training AI algorithms

Prompt Data Annotation Ai specialists focus on creating high-quality annotations specifically for AI prompts, ensuring models understand context. Data Labelers perform similar tasks but may work on broader datasets. Both roles require attention to detail and are vital in AI development, often overlapping but with different emphasis on prompt-specific annotation versus general data labeling.

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Infographic showing various Prompt Data Annotation Ai job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

AIML - Applied AI Scientist, Image Autograder Systems, Evaluation

Apple

Cupertino, CA • On-site

Full-time

Posted 16 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

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