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Temporary Ai Data Annotation Jobs in Kansas (NOW HIRING)

Flight Test Engineer (R5006)

Wichita, KS ยท On-site

$115K - $215K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Analyze ground and flight test data to identify performance trends, anomalies, root causes, and ...

Our AI-enabled contact centers live across dozens of markets and are moving millions in revenue ... Data Hygiene & Tracking: Accurately document outcomes; maintain clean logs; build and update ...

Our AI-enabled contact centers live across dozens of markets and are moving millions in revenue ... Data Hygiene & Tracking: Accurately document outcomes; maintain clean logs; build and update ...

Propulsion Test Engineer (R4380)

Wichita, KS ยท On-site

$150K - $230K/yr

Shield AI is a venture-backed defense-tech company with the mission of protecting service members ... Collaborate with Instrumentation Engineering to ensure data quality, test post process analysis ...

Showing results 41-60

Temporary Ai Data Annotation information

What is a temporary AI data annotation job?

Temporary AI Data Annotation jobs involve labeling, categorizing, or tagging data such as images, text, audio, or video for the purpose of training artificial intelligence (AI) and machine learning models. These roles are often short-term or contract positions, as they are needed for specific projects or during certain stages of data processing. Annotators play a critical role in ensuring the quality and accuracy of datasets, which directly impacts the performance of AI systems. No advanced technical skills are usually required, but attention to detail and consistency are important. These jobs may be offered remotely or on-site, depending on the employer.

What are some common challenges faced in a temporary AI data annotation role, and how can they be managed?

One of the main challenges in a Temporary AI Data Annotation position is maintaining consistent accuracy and attention to detail, especially when working with large volumes of data. Annotation guidelines can be complex and may change depending on project requirements, so adaptability and clear communication with the team are key. Managing repetitive tasks while ensuring high-quality work can be demanding, but using productivity tools and taking regular breaks can help maintain focus. Collaborating with quality assurance leads and participating in feedback sessions are also important for continuous improvement.

What are the key skills and qualifications needed to thrive as a temporary AI data annotation specialist, and why are they important?

To thrive as a Temporary AI Data Annotation Specialist, you need keen attention to detail, strong analytical skills, and the ability to follow complex guidelines, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools like Labelbox or Prodigy, and basic computer literacy are typically required. Reliability, consistency, and the ability to work independently stand out as valuable soft skills in this role. These competencies are essential for producing high-quality, accurate data that directly impacts the effectiveness of machine learning models.

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

AspectTemporary Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic skills, sometimes specific software knowledge
Work EnvironmentRemote or on-site, project-basedRemote or on-site, often similar settings
Industry UsageAI, machine learning, tech companiesAI, autonomous vehicles, tech sectors
Job FocusAnnotating data for AI trainingLabeling data for machine learning models

Temporary Ai Data Annotation involves short-term projects focused on preparing data for AI systems, while Data Labeler is a broader role that includes labeling various data types for machine learning. Both roles require similar skills and are used in tech industries, but Temporary Ai Data Annotation emphasizes project-based work specifically for AI training datasets.

What are the most commonly searched types of Ai Data Annotation jobs in Kansas?

The most popular types of Ai Data Annotation jobs in Kansas are:

What job categories do people searching Temporary Ai Data Annotation jobs in Kansas look for?

The top searched job categories for Temporary Ai Data Annotation jobs in Kansas are:

What cities in Kansas are hiring for Temporary Ai Data Annotation jobs?

Cities in Kansas with the most Temporary Ai Data Annotation job openings:

Infographic showing various Temporary Ai Data Annotation job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Flexible remote AI work. Your schedule. Paid weekly, straight to your bank account.

Meridian.ai

Auburn, KS โ€ข Remote

Full-time

Posted 11 hours ago

Posted today


Job description

What You'll Do

Review and label digital content including text, images, and documents. Every task you complete helps improve how technology interprets information and performs in practical settings.

Who We're Looking For

Detail-oriented individuals who take quality seriously and can follow detailed instructions consistently. Strong readers and writers with good judgment are a great fit. Prior experience in data labeling, annotation, research, writing, or operations is helpful but not required.

Requirements
  • Strong attention to detail
  • Clear written communication skills
  • Reliable internet connection and computer
  • Ability to work independently and meet deadlines
  • Basic familiarity with web-based tools or online forms
What We Offer
  • Remote, flexible contract work
  • Clear guidelines and training
  • Performance feedback and opportunities to grow
  • A mission-driven team focused on accuracy and quality

Ready to apply? Join a team helping build the data foundation behind better technology.

Workada is an Equal Opportunity Employer.