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Full Time Machine Learning Data Annotation Jobs in Phoenix, AZ

Bespoke Labs

Machine Learning Engineer

Glendale, AZ · On-site

Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...

Bespoke Labs

Machine Learning Engineer

Mesa, AZ

Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...

Bespoke Labs

Machine Learning Engineer

Scottsdale, AZ · On-site

Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration * Run and scale training experiments on cloud or HPC ...

MY DR NOW

AI & Machine Learning Engineer

Chandler, AZ · On-site

$100K - $110K/yr (+ commission)

... LLMs), Machine Learning, and Generative AI * Build intelligent agents, RAG solutions, prompt ... Write advanced SQL queries to transform healthcare data into actionable intelligence * Collaborate ...

Champions Funding LLC

Data Scientist

Gilbert, AZ · On-site

Design, develop, and evaluate machine learning, statistical, and predictive models to solve complex ... Evaluate data quality, model performance, and AI system limitations while ensuring responsible ...

Axon

Senior Machine Learning Scientist

Scottsdale, AZ

$92K - $125K/yr

... data. What You'll Do Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see * US ... in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant ...

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All JobsMachine Learning Data Annotation JobsFull Time Machine Learning Data Annotation JobsFull Time Machine Learning Data Annotation Jobs in Phoenix, AZ

Full Time Machine Learning Data Annotation information

See Phoenix, AZ salary details

$37.2K

$121.9K

$195.1K

How much do full time machine learning data annotation jobs pay per year?

As of Sep 6, 2026, the average yearly pay for full time machine learning data annotation in Phoenix, AZ is $121,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $135,000.00 per year, depending on experience, location, and employer.

What is a full time machine learning data annotation job?

Full time machine learning data annotation jobs involve labeling, tagging, or categorizing data such as images, text, audio, or video to help train machine learning models. Data annotators play a crucial role in ensuring that AI systems learn from high-quality, accurately labeled datasets. These positions often require attention to detail, consistency, and sometimes familiarity with the subject matter or specialized tools. Full-time roles may be remote or onsite and can span industries like autonomous vehicles, healthcare, retail, and more.

What are some common challenges faced by machine learning data annotators, and how are these typically addressed within a team?

Machine learning data annotators often encounter challenges such as maintaining consistency in labeling, handling ambiguous data, and meeting tight deadlines for large datasets. Teams usually address these by establishing clear annotation guidelines, conducting regular training sessions, and implementing quality assurance processes like peer reviews and spot checks. Collaboration with data scientists and project managers is also common, ensuring that annotators can ask questions and clarify uncertainties, leading to higher-quality labeled data and a supportive work environment.

What are the key skills and qualifications needed to thrive as a full time machine learning data annotation specialist, and why are they important?

To thrive as a Full Time Machine Learning Data Annotation Specialist, you need strong attention to detail, basic data literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency in specialized annotation platforms, spreadsheet tools, and sometimes knowledge of Python or labeling frameworks is typically required. Reliability, patience, and effective communication are valuable soft skills for ensuring accuracy and collaborating with team members. These skills and qualities are crucial because they directly impact the quality of training data, which is essential for developing effective machine learning models.

What is the difference between Full Time Machine Learning Data Annotation vs Data Labeling Specialist?

AspectFull Time Machine Learning Data AnnotationData Labeling Specialist
CredentialsHigh school diploma or equivalent; some roles prefer technical certificationsHigh school diploma or equivalent; training often provided on the job
Work EnvironmentOffice or remote; collaborative with data science teamsRemote or office; focused on labeling tasks
Industry UsageUsed across AI/ML companies, tech firms, and startupsCommon in AI/ML, data services, and outsourcing companies
Job FocusCreating labeled datasets for machine learning modelsAnnotating data such as images, videos, or text for AI training

Full Time Machine Learning Data Annotation involves creating high-quality labeled datasets for AI models, often requiring technical understanding. Data Labeling Specialists focus on annotating data accurately, typically with less emphasis on technical skills. Both roles are essential in AI development but differ mainly in scope and technical complexity.

What are the most commonly searched types of Machine Learning Data Annotation jobs in Phoenix, AZ?

The most popular types of Machine Learning Data Annotation jobs in Phoenix, AZ are:

What are popular job titles related to Full Time Machine Learning Data Annotation jobs in Phoenix, AZ?

For Full Time Machine Learning Data Annotation jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Full Time Machine Learning Data Annotation jobs in Phoenix, AZ look for?

The top searched job categories for Full Time Machine Learning Data Annotation jobs in Phoenix, AZ are:

Full Time Machine Learning Data Annotation jobs near you

Machine Learning Engineer

Bespoke Labs

Glendale, AZ • On-site

Full-time

Re-posted 20 days ago

Job description

  • Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch

  • Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration

  • Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues

  • Build evaluation harnesses and benchmark infrastructure, with held-out sets and contamination controls, so results are trustworthy

  • Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams

  • Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics

  • Implement methods from recent ML papers quickly and turn them into production-grade systems

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