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Monday Friday Data Annotation Analyst Jobs (NOW HIRING)

TRUCKING PEOPLE

Data Review Analyst

Pittsburgh, PA · On-site

$30 - $33/hr

This role focuses on analyzing AV data using visualization tools and applying detailed policy ... annotation/labeling roles preferred FULL WORK SCHEDULE: * Monday - Friday: 9:00 AM - 5:00 PM ...

TRUCKING PEOPLE

Data Review Analyst

Pittsburgh, PA · On-site

$30 - $33/hr

This role focuses on analyzing AV data using visualization tools and applying detailed policy ... annotation/labeling roles preferred FULL WORK SCHEDULE: * Monday - Friday: 9:00 AM - 5:00 PM ...

Infotree Global Solutions

Data Engineer-AI/ML

Seattle, WA

$130.40K - $156.60K/yr

... to analyze large data sets, perform data visualizations, develop hypotheses, and make insightful recommendations • Experience at developing linguistic annotation project (e.g. Machine Translation ...

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How much do monday friday data annotation analyst jobs pay per year?

As of Jun 1, 2026, the average yearly pay for monday friday data annotation analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.
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Monday Friday Data Annotation Analyst jobs near you
Infographic showing various Monday Friday Data Annotation Analyst job openings in the United States as of May 2026, with employment types broken down into 4% Locum Tenens, 2% As Needed, 68% Full Time, 13% Part Time, 10% Contract, and 3% Nights. Highlights an 20% Hybrid, and 80% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Scientist - Survey Design, Data Annotation, and Machine Learning Evaluation

Data Scientist - Survey Design, Data Annotation, and Machine Learning Evaluation

Apple

Cupertino, CA • On-site

Full-time

Posted 10 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Apple is where individual imaginations gather together, committing to the values that lead to.great work. Every new product we build, service we create, or experience we deliver is the.result of us making each other's ideas stronger. The diversity of our people and their thinking.inspires the innovation that runs through everything we do. When we bring everybody in, we.can do the best work of our lives. Here, you'll do more than join something - you'll add.something.
The Special Projects team at Apple is developing novel user-facing conversational features thatleverage the multimodal capabilities of state-of-the-art foundation models. As part of thisprocess, we generate real-world and simulated data, gather human data annotations, analyzethe results, and use them to build and evaluate Large Language Model judges. We are lookingfor a skilled Data Scientist to join our Machine Learning Evaluations teams. This person willwork closely with ML Engineers to manage and analyze our human and automated dataannotation processes, and to develop, test, and refine LLM judges for generative AI modelevaluation. A successful candidate is experienced in survey design, data annotation, LLMprompt engineering and prompt optimization, and has strong statistical analysis skills.
BA or Master's degree in Data Science, Statistics, or a quantitative social science field 2+ years of hands-on experience working in survey design and human data annotation Proficiency in Python Excellent communication skills
PhD in Data Science, Statistics, or a quantitative social science field Hands-on industry experience with product-focused statistical analysis Experience working with large-scale multimodal data and data-annotation pipelines Experience with LLM prompt engineering & prompt optimization Experience with LLM auto-judges for generative AI model evaluation A track record of publications or technical presentations in Data Science or a related field Excellent at cross-functional collaboration

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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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