ZipRecruiter

Log In

2

Ai Data Labeling Remote Jobs in Springfield, IL (NOW HIRING)

micro1 AI

Private Funds Attorney - Remote

Springfield, IL · Remote

$90 - $130/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Corporate Transactions Attorney

Springfield, IL · Remote

$90 - $130/hr

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Lawyer (Asset Management)

Springfield, IL · Remote

$90 - $130/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Corporate M&A Associate

Springfield, IL · Remote

$90 - $130/hr

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

micro1 AI

Corporate Funds Legal Consultant

Springfield, IL · Remote

$90 - $130/hr

Remote We are seeking seasoned Funds Attorneys for a part-time role at the forefront of legal AI ... Collaborate with product and research teams to refine data, guidelines, and best practices for AI ...

next page

Showing results 1-20

All JobsAi Data Labeling JobsAi Data Labeling Remote JobsAi Data Labeling Remote Jobs in Springfield, IL

Ai Data Labeling Remote information

See Springfield, IL salary details

$20.6K

$87.9K

$203K

How much do ai data labeling remote jobs pay per year?

As of Aug 5, 2026, the average yearly pay for ai data labeling remote in Springfield, IL is $87,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,612.00 and $130,415.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by AI data labeling remote professionals, and how can they be overcome?

Remote AI data labeling professionals often encounter challenges such as maintaining attention to detail over repetitive tasks and ensuring consistent quality across large datasets. To overcome these challenges, it's helpful to take regular breaks, stay organized with task management tools, and actively communicate with your team leaders about any uncertainties or edge cases in the data. Many teams provide detailed guidelines and ongoing feedback to support accuracy and minimize errors. Adhering to best practices and engaging in regular check-ins with supervisors can help maintain motivation, ensure consistent performance, and contribute positively to team goals.

What are the key skills and qualifications needed to thrive in the AI data labeling remote position, and why are they important?

To thrive as an AI Data Labeling Remote professional, you need keen attention to detail, strong organizational skills, and familiarity with data annotation concepts, typically supported by a high school diploma or relevant experience. Proficiency with common labeling tools like Labelbox, Supervisely, or proprietary platforms, and a basic understanding of data privacy and security protocols, are often required. Consistency, reliability, time management, and clear communication are crucial soft skills that set candidates apart. These abilities ensure high-quality, accurate labeling of datasets, which is critical for training effective and unbiased AI models.

What is an AI data labeling remote?

An AI Data Labeling Remote job involves annotating data, such as images, text, audio, or videos, to help train machine learning models. Tasks may include drawing bounding boxes, categorizing content, or transcribing text with accuracy. This role is typically performed online, allowing individuals to work from home with flexible hours. Strong attention to detail and familiarity with labeling tools are essential for success in this position.

What are popular job titles related to Ai Data Labeling Remote jobs in Springfield, IL? For Ai Data Labeling Remote jobs in Springfield, IL, the most frequently searched job titles are:
What job categories do people searching Ai Data Labeling Remote jobs in Springfield, IL look for? The top searched job categories for Ai Data Labeling Remote jobs in Springfield, IL are:
What cities near Springfield, IL are hiring for Ai Data Labeling Remote jobs? Cities near Springfield, IL with the most Ai Data Labeling Remote job openings:
Ai Data Labeling Remote jobs near you
Infographic showing various Ai Data Labeling Remote job openings in Springfield, IL as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution, with an average salary of $87,860 per year, or $42.2 per hour.

AI Trainer - Microbiology Expert

micro1 AI

Springfield, IL • Remote

$70 - $90/hr

Part-time

Posted 7 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.

Apply