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Freelance Machine Learning Data Annotation Jobs in Arizona

Alignerr

Data Security & DLP Analyst

Phoenix, AZ · Remote

$38 - $60/hr

... data annotation workflows Why Join Us * Work directly on frontier AI systems alongside top research labs * Fully remote and flexible set your own hours and workload * Freelance perks: autonomy ...

Black Rock Group

Machine Learning Engineer

Phoenix, AZ

$55.25 - $73.25/hr

Required Qualifications Bachelor s or higher degree in Data Science, Computer Science, Engineering, Information Systems, or related field Hands-on experience building and deploying Machine Learning ...

General Motors

Senior AI/ML Engineer

Phoenix, AZ · On-site +1

$103.80K - $142.50K/yr

... data annotation (pre-labeling, autolabeling, active learning loops), helping us move from human-only to machine-led labeling at scale. * Champion AI-assisted engineering Use and advocate for modern ...

Indeed

Machine Learning Engineer III

Scottsdale, AZ · On-site

On a daily basis, you will explore data and formulate problem statements, develop and deploy ... Experiment with Proof of Concept Machine Learning model improvements, scale them to production, and ...

Varsity Tutors

Machine Learning Tutor

Scottsdale, AZ · Remote

$40/hr

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Tempe, AZ · Remote

$40/hr

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Phoenix, AZ · Remote

$40/hr

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Glendale, AZ · Remote

$40/hr

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Indeed

Staff Machine Learning Engineer

Scottsdale, AZ · On-site

On a daily basis, you will explore data and formulate problem statements, develop and deploy ... Experiment with Proof of Concept Machine Learning model improvements, scale them to production, and ...

Varsity Tutors

Machine Learning Tutor

Mesa, AZ · Remote

$40/hr

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Gilbert, AZ · Remote

$40/hr

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Tucson, AZ · Remote

$40/hr

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Chandler, AZ · Remote

$40/hr

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Freelance Machine Learning Data Annotation information

What are the key skills and qualifications needed to thrive as a Freelance Machine Learning Data Annotation specialist, and why are they important?

To thrive as a Freelance Machine Learning Data Annotation specialist, you need attention to detail, basic knowledge of data labeling concepts, and familiarity with machine learning data types. Experience with annotation tools (such as Labelbox, RectLabel, or CVAT) and understanding of data privacy protocols are commonly required. Strong communication, time management, and the ability to follow complex guidelines are essential soft skills for delivering accurate results. These skills ensure high-quality, consistent data annotation, which is critical for effective machine learning model training and performance.

What are some common challenges faced by freelance machine learning data annotators, and how can they be managed?

Freelance machine learning data annotators often encounter challenges such as maintaining data accuracy, handling repetitive tasks, and understanding complex annotation guidelines. Staying organized and regularly reviewing project instructions can help ensure consistency and quality in annotations. Additionally, communicating proactively with project managers and utilizing annotation tools efficiently can help manage workload and clarify uncertainties. Building expertise in different data types (text, image, audio) also allows annotators to diversify their projects and reduce monotony.

What is freelance machine learning data annotation?

Freelance machine learning data annotation involves labeling or tagging data—such as images, text, audio, or video—to help train machine learning models. As a freelancer, you work independently or through platforms, completing specific annotation tasks assigned by companies or researchers. This work is essential because high-quality labeled data is required for AI systems to learn and make accurate predictions. Annotators may categorize images, transcribe speech, or highlight relevant information in documents. The flexibility of freelancing allows you to choose projects and work remotely.

What is the difference between Freelance Machine Learning Data Annotation vs Data Labeler?

AspectFreelance Machine Learning Data AnnotationData Labeler
CredentialsBasic understanding of annotation tools, sometimes with specialized domain knowledgeTypically no formal credentials required
Work EnvironmentRemote, flexible, project-basedOften remote or in-house, depending on employer
Industry UsageUsed in AI/ML development for training datasetsUsed in data preparation for various industries, including AI
Search/Comparison IntentFocuses on freelance opportunities, project scope, and toolsMore general, often employed by companies for data labeling tasks

Freelance Machine Learning Data Annotation involves independently completing annotation tasks for AI models, often with specialized tools and domain knowledge. Data Labelers typically perform similar tasks but may work as employees or contractors within a company. The main difference lies in the freelance nature and project-based work of data annotation roles.

What are popular job titles related to Freelance Machine Learning Data Annotation jobs in Arizona? For Freelance Machine Learning Data Annotation jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Freelance Machine Learning Data Annotation jobs in Arizona look for? The top searched job categories for Freelance Machine Learning Data Annotation jobs in Arizona are:
What cities in Arizona are hiring for Freelance Machine Learning Data Annotation jobs? Cities in Arizona with the most Freelance Machine Learning Data Annotation job openings:
Freelance Machine Learning Data Annotation jobs near you

Data Security & DLP Analyst

Alignerr

Phoenix, AZ • Remote

$38 - $60/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Security & DLP Analyst

$38-60/hr Remote Freelance CODING

We partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. Now we're looking for data security professionals who understand how real-world data leaks happen and can translate that expertise into training materials that teach AI systems to reason about sensitive information risk.

This is a unique opportunity to apply your hands-on security knowledge to frontier AI development, working remotely on your own schedule.

Organization: Alignerr

Type: Hourly Contract

Location: Remote

Commitment: 1040 hours/week

What You'll Do

  • Analyze realistic data security and DLP scenarios spanning cloud, SaaS, and enterprise environments
  • Classify data sensitivity levels, exposure paths, and policy violations
  • Evaluate prevention, detection, and incident response strategies across a range of scenarios
  • Generate, label, and validate data security cases used to train and evaluate AI systems
  • Help AI models develop accurate, nuanced reasoning about how sensitive information is exposed and protected

Who You Are

  • 2+ years of experience in data security, compliance, or security operations
  • Familiar with DLP tools, data classification frameworks, and privacy or regulatory concepts (e.g., GDPR, HIPAA, CCPA)
  • Practical understanding of how data risk plays out in real-world environments not just theory
  • Able to clearly articulate security reasoning in written form
  • Detail-oriented and comfortable working independently on task-based assignments

Nice to Have

  • Experience with cloud security platforms (AWS, Azure, GCP) or SaaS security controls
  • Background in security operations, incident response, or data governance
  • Familiarity with AI training or data annotation workflows

Why Join Us

  • Work directly on frontier AI systems alongside top research labs
  • Fully remote and flexible set your own hours and workload
  • Freelance perks: autonomy, variety, and collaboration with a global expert community
  • Apply your security expertise in a new and meaningful way
  • Potential for ongoing work and contract extension

Apply