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Internship Remote Data Annotation Jobs in Gilbert, AZ

Provn

Agentic Software Engineer I

Scottsdale, AZ · Remote

Remote, US-based. Apply directly here: provn.co/org/arrivia/jobs/fecb14e9 -2a0b-4549-a059 ... Following established security and privacy practices to protect member data * Contributing to ...

The State of Arizona

Accountant 3

Phoenix, AZ · On-site +1

$74K/yr

All work, including remote work, should be performed within Arizona unless an exception is properly ... data Reconciliation of multiple funds on an accrual and cash basis Spreadsheet and database ...

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All JobsData Annotation JobsInternship Remote Data Annotation JobsInternship Remote Data Annotation Jobs in Gilbert, AZ

Internship Remote Data Annotation information

See Gilbert, AZ salary details

$11

$22

$41

How much do internship remote data annotation jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for internship remote data annotation in Gilbert, AZ is $22.43, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $24.42 per hour, depending on experience, location, and employer.

What is the difference between Internship Remote Data Annotation vs Data Labeling Specialist?

AspectInternship Remote Data AnnotationData Labeling Specialist
CredentialsTypically students or entry-level with basic computer skillsRelevant experience or certifications in data annotation or related fields
Work EnvironmentRemote, flexible hours, often part-timeRemote or on-site, depending on employer, often full-time
Industry UsageCommon in AI/ML projects, tech companies, research institutionsUsed in AI/ML, autonomous vehicles, healthcare, and tech sectors

Internship Remote Data Annotation roles are usually entry-level, temporary positions aimed at gaining experience, while Data Labeling Specialists are more experienced roles focused on accurately annotating data for machine learning models. Both roles are essential in AI development but differ in experience requirements and job scope.

What typical tasks can I expect to handle as a remote data annotation intern, and how is performance usually evaluated?

As a remote data annotation intern, your primary tasks will involve reviewing and labeling data—such as images, text, or audio—according to specific guidelines provided by your team. You'll likely work with annotation tools, follow detailed instructions to ensure high-quality and consistent labeling, and may participate in quality assurance checks. Performance is generally evaluated based on annotation accuracy, speed, and your ability to follow instructions, with regular feedback provided via virtual meetings or project management platforms. Effective communication and attention to detail are key to succeeding in this collaborative, remote environment.

What are the key skills and qualifications needed to thrive as a Remote Data Annotation Intern, and why are they important?

To thrive as a Remote Data Annotation Intern, you need attention to detail, basic data processing skills, and familiarity with labeling guidelines, generally supported by a high school diploma or relevant coursework. Experience with annotation platforms, spreadsheets, and sometimes basic programming tools or machine learning frameworks is often required. Strong communication, time management, and the ability to follow precise instructions are valuable soft skills in this role. These skills ensure high-quality, accurate data labeling, which is critical for training reliable machine learning models.

What is a remote data annotation internship?

A remote data annotation internship is a temporary position where interns work from home or another remote location to label, categorize, or tag data such as images, text, or audio. This annotated data is often used to train machine learning models and improve artificial intelligence systems. Interns typically use specialized platforms or tools to complete their tasks, and gain hands-on experience in data handling, quality control, and understanding AI workflows. The internship is ideal for those interested in technology, data science, or AI, and often requires strong attention to detail and good communication skills.
What are popular job titles related to Internship Remote Data Annotation jobs in Gilbert, AZ? For Internship Remote Data Annotation jobs in Gilbert, AZ, the most frequently searched job titles are:
What job categories do people searching Internship Remote Data Annotation jobs in Gilbert, AZ look for? The top searched job categories for Internship Remote Data Annotation jobs in Gilbert, AZ are:
What cities near Gilbert, AZ are hiring for Internship Remote Data Annotation jobs? Cities near Gilbert, AZ with the most Internship Remote Data Annotation job openings:
Internship Remote Data Annotation jobs near you
Infographic showing various Internship Remote Data Annotation job openings in Gilbert, AZ as of July 2026, with employment types broken down into 2% Locum Tenens, 32% Full Time, 16% Part Time, 16% Contract, 33% Nights, and 1% Summer. Highlights an 34% Physical, and 66% Remote job distribution, with an average salary of $46,660 per year, or $22.4 per hour.

Agentic Software Engineer I

Provn

Scottsdale, AZ • Remote

Full-time

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

Job description

Provn is hiring an Agentic Software Engineer I for a travel technology company building its platform on the latest AI-powered development tools. This is an early-career, full-stack role where working alongside AI coding agents (Claude Code, Cursor, GitHub Copilot) is part of the daily workflow, not a side experiment.

Comp: Discussed at interview stage. Remote, US-based.

Apply directly here:

provn.co/org/arrivia/jobs/fecb14e9-2a0b-4549-a059-fa335612216d/agentic-software-engineer-i?utm_source=dstribute&utm_medium=job+board&utm_campaign=arrivia-swe1

You'd be joining a team that's serious about treating agentic development as a real engineering discipline. You'll ship features and fix defects across a full-stack travel platform, write code both manually and with AI agents, and build the review instincts needed to keep AI-generated code high quality. You'll work under the mentorship of experienced engineers and grow your skills across both traditional software engineering and agentic development.

What you'll be doing:

  • Developing features and fixing defects across a full-stack travel platform with guidance from senior engineers
  • Using Claude Code, Cursor, and GitHub Copilot as part of daily development workflows to write, refine, and debug code
  • Reviewing AI-generated code for correctness and quality under mentorship
  • Contributing to refactoring and modernizing existing services using established patterns
  • Writing clean, testable, and well-documented code, whether authored manually or collaboratively with AI agents
  • Participating in improvements to development processes and the operations of a distributed architecture
  • Supporting quality, durability, and technical debt reduction alongside Product Owners, Engineering Managers, and Designers
  • Following established security and privacy practices to protect member data
  • Contributing to backend and system SLOs as part of the broader engineering team

What we're looking for:

  • 1-3 years of full-stack development experience building web applications and services (internship experience counts)
  • Proficiency in one or more of TypeScript/JavaScript, Python, or C#/.NET
  • Experience with at least one modern frontend framework: React, Next.js, Vue, or Angular
  • Foundational experience with RESTful APIs and microservices architecture
  • Exposure to cloud platforms (AWS, Azure, or GCP)
  • Familiarity with AI coding agents through professional use, personal projects, or academic work
  • Basic understanding of prompt engineering for code generation and development tasks
  • Awareness of the Model Context Protocol (MCP) and how it enables AI agents to interact with external tools and data
  • Familiarity with Git, CI/CD concepts, and code review processes
  • Exposure to Docker or interest in container-based workflows
  • Strong communication, curiosity about emerging AI development tools, and the ability to act on feedback from code reviews
  • Bachelor's in Computer Science, Computer Engineering, or equivalent experience
  • Bonus points for working knowledge of Azure AI Foundry, RAG, LangChain, or graph-based data technologies (GraphRAG, GraphDB)

Must be authorized to work in the US. No visa sponsorship.

About Provn

Your Provn Application is your edge to rise to the top of resume stacks. You will complete a challenge designed in partnership with the hiring manager for this role. Present your approach, your critical thinking, and your solution. Humans, not bots, review and assess your work. And hiring managers are contacting top performers for interview loops. Through challenge-based portfolios and merit-first matching, we connect the world's best talent with the best opportunities, regardless of geography, education, work history, or network.