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Temp Ai Annotation Jobs (NOW HIRING)

Aquent

Senior AI Data Operations Analyst

Manhattan, NY · On-site +1

$47 - $51/hr

Temporary Salary: $47-51 Hourly W2, Benefits and 401k matching Start Date: Aug 10, 2026 Our media ... Data Quality / Annotation Background: Proven experience in data annotation, data quality, or ...

Aerotek

Data Labeling Specialist

San Jose, CA · On-site

$30/hr

Use proprietary annotation tools to label objects, poses, and interactions in images and video ... If eligible, the benefits available for this temporary role may include the following: * Medical ...

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Temp Ai Annotation information

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$39K

$75.5K

$123.5K

How much do temp ai annotation jobs pay per year?

As of Aug 4, 2026, the average yearly pay for temp ai annotation in the United States is $75,506.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $88,500.00 per year, depending on experience, location, and employer.

What is a Temp AI Annotation?

Temp AI Annotation jobs involve temporarily labeling, categorizing, or tagging data like images, text, or audio to train artificial intelligence (AI) systems. Workers in these roles help improve machine learning models by identifying objects, transcribing speech, or classifying content according to specific guidelines. These positions are usually short-term or contract-based and are essential for ensuring AI systems learn from accurate and well-organized data. No advanced technical skills are usually required, but attention to detail and consistency are crucial for success. Many companies hire temp AI annotators to handle large volumes of data quickly and efficiently.

What are the key skills and qualifications needed to thrive as a Temp AI Annotation?

To thrive as a Temp AI Annotation Specialist, you should have strong attention to detail, basic data analysis skills, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Experience with annotation platforms, data management tools, and sometimes knowledge of spreadsheet software or proprietary labeling systems is typically required. Excellent communication, reliability, and the ability to follow detailed instructions are crucial soft skills in this role. These competencies are important to ensure accuracy and efficiency in preparing high-quality datasets that power AI models.

What is the difference between Temp Ai Annotation vs Data Labeler?

AspectTemp Ai AnnotationData Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, project-basedRemote or on-site, project-based
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Common Search IntentTemporary AI annotation jobsData labeling or annotation roles

Temp Ai Annotation involves short-term tasks focused on labeling data for AI training, often requiring quick turnaround and specific project instructions. Data Labeler roles are similar but may include more ongoing or permanent positions. Both roles are essential in AI development and share similar skills and work environments.

What does a Temp AI Annotation do?

In a Temp AI Annotation position, your day usually involves reviewing and labeling large sets of data, such as images, text, or audio, to help train machine learning models. You’ll use specialized annotation tools and follow detailed guidelines to ensure consistency and accuracy. Collaboration with team leads or quality assurance specialists is common, as feedback is essential to maintain high annotation standards. The pace can be fast, with set targets to meet, but this role offers a valuable opportunity to learn about AI data pipelines and contribute to cutting-edge technology projects.
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What cities are hiring for Temp Ai Annotation jobs? Cities with the most Temp Ai Annotation job openings:
What are the most commonly searched types of Ai Annotation jobs? The most popular types of Ai Annotation jobs are:
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Temp Ai Annotation jobs near you
Infographic showing various Temp Ai Annotation job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $75,506 per year, or $36.3 per hour.

Senior AI Data Operations Analyst

Aquent

Manhattan, NY • On-site, Remote

$47 - $51/hr

Temporary

Medical, Retirement

Posted 8 days ago

Job description

Placement Type:
Temporary
Salary:
$47-51 Hourly
W2, Benefits and 401k matching
Start Date:
Aug 10, 2026
Our media client, partnered with Aquent, is a global leader in the entertainment industry, dedicated to connecting millions of users with engaging audio experiences. They are at the forefront of innovation, continuously evolving how listeners discover and interact with music, podcasts, and audiobooks. This is an incredible opportunity to join a team that shapes the daily experience of a vast global audience, directly influencing how users discover and engage with content through cutting-edge AI and machine learning.
We are seeking a **Senior AI Data Operations Analyst** to play a pivotal role in ensuring the highest quality and relevance of their recommendation engines and AI/LLM-powered features. In this hands-on, highly collaborative position, you will be a key driver of data quality and annotation strategy, bridging critical gaps between product managers, data scientists, and engineers. Your work will directly contribute to building the essential datasets needed to train and evaluate next-generation features, making a tangible impact on the core user experience and the future of content discovery.
What You'll Do
  • Perform hands-on data annotations and lead larger, cross-functional annotation sessions to generate high-quality training datasets for advanced recommendation models.
  • Establish clear criteria, metrics, and qualitative success measures for core user experience features and the LLM judges evaluating them.
  • Design and execute structured qualitative testing using internal tools, ensuring human judgment remains central while leveraging AI/LLM tools to scale evaluation efforts efficiently.
  • Partner on major, publicly announced initiatives, driving the evolution of personalized and agentic user experiences.
  • Improve and maintain robust evaluation processes, guidelines, and documentation that are adopted across various product groups.
  • Present qualitative findings, data trends, and quality risks clearly and concisely to product, design, research, and engineering leads, influencing strategic decisions.

Who You Are
  • Data Quality / Annotation Background: Proven experience in data annotation, data quality, or product/content quality analysis with direct ownership over evaluation workflows.
  • Strong Qualitative & Analytical Skills: Highly comfortable running structured qualitative evaluations, handling large data sets, and transforming subjective feedback into clear, actionable quality metrics.
  • AI/ML Familiarity: Strong functional understanding of machine learning product development and how ML/LLM/agentic features are evaluated and trained. You understand how data quality directly impacts AI outputs.
  • Process & Framework Builder: Demonstrated ability to create or refine robust evaluation frameworks and guidelines that empower team members to consistently maintain high quality standards.
  • Strong Communicator: Excellent written and verbal communication skills, with the ability to confidently present findings and guide cross-functional teams through complex evaluation initiatives.
  • Tool Proficiency: Comfortable working with standard data tools (e.g., Excel, Google Sheets) and adept at quickly learning internal proprietary annotation and evaluation platform tools.

Nice-to-Haves
  • Experience in digital media or streaming entertainment platforms (though data annotation experience in other tech industries is fully welcome).

The target hiring compensation range for this role is $47.00/hr to $51.00. Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location.
About Skill:
Skill connects the best professional, IT, engineering, financial and administrative talent with the world's biggest brands. Our eligible talent get access to benefits such as health benefit contributions, retirement plans with match and flexible spending accounts.
Skill is an equal-opportunity employer. We evaluate qualified applicants without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

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