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Remote Data Annotation Specialist Jobs in Iowa (NOW HIRING)

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Remote Data Annotation Specialist information

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

To thrive as a Remote Data Annotation Specialist, you need strong attention to detail, familiarity with data labeling guidelines, and a basic understanding of data structures, often supported by a high school diploma or relevant training. Experience with annotation platforms, data management tools, and sometimes basic scripting languages is typically required. Excellent time management, communication skills, and the ability to work independently help individuals excel in this remote role. These skills ensure high-quality, consistent, and efficient data labeling, which is critical for training accurate machine learning models.

What is the salary of data annotation specialist?

The salary of a remote data annotation specialist typically ranges from $12 to $25 per hour, depending on experience, skill level, and the complexity of annotation tasks. Some positions may offer hourly wages or project-based pay, with opportunities for bonuses or raises based on performance and accuracy.

What are some typical challenges Remote Data Annotation Specialists face, and how can they be managed?

Remote Data Annotation Specialists often encounter challenges such as maintaining focus during repetitive tasks, ensuring consistency across large datasets, and managing tight deadlines. To overcome these, it's helpful to establish a structured work schedule, take regular breaks, and utilize annotation guidelines provided by the employer. Collaborative tools and periodic check-ins with team leads or peers can also help clarify questions and maintain quality standards, ensuring annotation accuracy and productivity.

What is a data annotation specialist?

A data annotation specialist is a professional who labels and categorizes data, such as images, text, or videos, to help train machine learning models. They typically use annotation tools and require attention to detail to ensure data accuracy, often working remotely with flexible schedules.

How much do remote data annotation operators make?

Remote data annotation specialists typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform they work for. Some roles may offer project-based pay or bonuses for accuracy and efficiency, with opportunities for skill development in annotation tools and data labeling processes.

What are Remote Data Annotation Specialists?

Remote Data Annotation Specialists are professionals who label, tag, or categorize data—such as images, text, audio, or video—for use in machine learning and artificial intelligence projects. They work remotely, using specialized software tools to ensure data is accurately annotated according to project guidelines. Their work helps improve the performance of AI systems by providing high-quality, labeled datasets that algorithms can learn from. This role often requires attention to detail, basic technical skills, and the ability to follow instructions carefully.

What qualifications do you need to be a data annotator?

To be a remote data annotation specialist, candidates typically need strong attention to detail, basic computer skills, and familiarity with annotation tools or software. A high school diploma or equivalent is usually sufficient, and some roles may require prior experience in data labeling or related tasks. Good communication skills and the ability to work independently are also beneficial.

What is the difference between Remote Data Annotation Specialist vs Remote Data Labeler?

AspectRemote Data Annotation SpecialistRemote Data Labeler
CredentialsHigh school diploma or equivalent; attention to detailHigh school diploma or equivalent; attention to detail
Work EnvironmentRemote, often part of AI/ML teamsRemote, typically freelance or contract-based
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, computer vision
Common Search IntentUnderstanding roles, job requirements, and career pathFinding entry-level or freelance annotation jobs

The Remote Data Annotation Specialist and Remote Data Labeler roles both involve labeling data for AI and machine learning projects. However, the Specialist often performs more complex annotations and may work within a team, while the Labeler typically handles simpler tasks independently. Both roles require attention to detail and are common in AI industries, but the Specialist may have more responsibilities and slightly higher skill expectations.

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

Medical Microbiology Consultant - Remote

micro1 AI

Des Moines, IA • Remote

$70 - $90/hr

Part-time

Posted 5 days ago

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

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