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Internship Ai Annotation Writing Jobs (NOW HIRING)

SPHERIX GLOBAL INSIGHTS US INC

Finance Internship

Exton, PA · On-site

$17.25 - $22.50/hr

- Finance Intern Finance Internship - AI, Financial Reporting & Sales Operations Analytics The ... Strong written communication skills, with the ability to clearly document processes and ...

Spherix Global Insights

Finance Internship

Exton, PA · On-site

$17.25 - $22.50/hr

- Finance Intern Finance Internship - AI, Financial Reporting & Sales Operations Analytics The ... Strong written communication skills, with the ability to clearly document processes and ...

Mercor

Data Annotation Specialist - AI Lab

New York, NY · Remote

$50/hr

Strong written communication and reasoning skills. * High reliability, consistency, and comfort ... Experience with large-scale AI data annotation or evaluation programs. * Background in QA, ...

Handshake

Software Engineer I, Annotations

San Francisco, CA · On-site

$150K - $175K/yr

... internships, full-time roles, research, or significant project work * Strong programming ... Familiarity with AI, annotation, or human-in-the-loop workflows * Experience working in fast-moving ...

New

Bot Auto

Data Annotation Specialist

Houston, TX

High-quality data is the lifeblood of our "Physical AI" and the foundation of our autonomous ... Outstanding verbal and written communication abilities; ability to clearly explain complex visual ...

Bot Auto

Data Annotation Specialist

Houston, TX · On-site

High-quality data is the lifeblood of our "Physical AI" and the foundation of our autonomous ... Outstanding verbal and written communication abilities; ability to clearly explain complex visual ...

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Internship Ai Annotation Writing information

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How much do internship ai annotation writing jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for internship ai annotation writing in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

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

AspectInternship Ai Annotation WritingData Labeling Specialist
CredentialsTypically students or entry-level with basic technical skillsOften requires experience with labeling tools and data management
Work EnvironmentInternship setting, often in tech or AI companiesFull-time or freelance roles in data annotation firms or tech companies
Industry UsageCommon in AI development, machine learning projectsUsed across AI, autonomous vehicles, and data-driven industries

Internship Ai Annotation Writing focuses on entry-level tasks like creating annotations for AI training data, often as part of an internship program. Data Labeling Specialist involves more experienced data annotation work, often with specialized tools and higher accuracy requirements. Both roles are essential in AI development but differ mainly in experience level and scope.

How much do AI annotators make?

AI annotators typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Many positions are freelance or part-time, often requiring attention to detail and familiarity with annotation tools.
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Internship Ai Annotation Writing jobs near you
Infographic showing various Internship Ai Annotation Writing job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.

Creative Writing Generative AI Analyst - USA (Remote)

Welo Global

Remote

$28.80/hr

Full-time

Posted 12 days ago

Job description

About the Role
We are hiring Creative Writing Generative AI Analysts in the United States to perform annotation efforts of multimedia and language data labeling and review work (e.g., video, images, and related metadata). This role focuses on annotation, data quality, prompt evaluation, and the creation of high-quality datasets used to train and improve generative AI models.
Project Details
  • Job Title: Creative Writing Generative AI Analyst
  • Location: Remote, USA
  • Hours: 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Pay Rate: $28.80/hour

What You'll Do
  • Perform annotation and labeling tasks for generative AI datasets, including text, image, video, and multimodal content
  • Create, review, and evaluate prompts and responses across a variety of domains and use cases
  • Conduct quality assurance reviews to ensure annotation accuracy, consistency, and adherence to guidelines
  • Assist in developing and refining annotation guidelines and evaluation criteria
  • Support data collection, categorization, tagging, and evaluation workflows for machine learning systems
  • Identify edge cases, inconsistencies, and quality issues within datasets and model outputs
  • Collaborate with internal teams and external partners to improve annotation quality and operational efficiency
  • Provide feedback on workflows, tooling, and annotation processes

Requirements:
  • Native level proficiency English with excellent written and verbal communication skills.
  • Work Authorization is required for the role.
  • Strong attention to detail and ability to follow complex annotation guidelines
  • Interest in creative writing, generative AI, machine learning, and emerging AI technologies
  • Experience with data annotation, content evaluation, labeling operations, or quality review workflows preferred
  • Bachelor's degree or equivalent practical experience

Ways to Stand Out from the Crowd
  • Familiarity with generative AI systems, large language models, RLHF, or multimodal AI workflows
  • Domain knowledge in Law/Medical/Math/Coding/etc is a plus
  • Bilingual proficiency is a plus (Korean, Japanese, Mandarin, Spanish, German, or French)
  • Experience annotating prompts, responses, images, video sequences, or other AI training data
  • QA/testing experience within AI, data operations, or content review environments
  • Experience working with evaluation rubrics, taxonomy development, or dataset quality initiatives
  • Python or scripting experience is a plus

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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