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Entry Level Remote Ai Trainer Jobs in Wisconsin (NOW HIRING)

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

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Entry Level Remote Ai Trainer information

What is the difference between Entry Level Remote Ai Trainer vs Data Annotator?

AspectEntry Level Remote Ai TrainerData Annotator
CredentialsHigh school diploma or equivalent; basic understanding of AI conceptsHigh school diploma or equivalent; attention to detail
Work EnvironmentRemote, collaborative with AI teamsRemote or on-site, focused on labeling data
Industry UsageAI development, machine learning projectsData preparation for AI and ML models
Search & Comparison IntentOften compared for entry-level AI rolesRelated but more focused on data labeling tasks

While both roles are entry-level and often remote, Entry Level Remote Ai Trainers focus on training AI models by providing feedback and refining algorithms, whereas Data Annotators primarily label and prepare data for AI systems. Understanding these distinctions helps job seekers identify the right role based on their skills and career goals.

What is an entry level remote AI trainer?

An Entry Level Remote AI Trainer is a professional who helps improve artificial intelligence systems by providing feedback, labeling data, and evaluating AI outputs, often from a remote location. These roles typically require individuals to review content, assess the accuracy of AI-generated responses, or annotate data sets to help machine learning models learn and perform better. No advanced technical background is usually necessary, making it ideal for those starting their careers in AI or data-related fields. Training is often provided, and tasks can range from simple text analysis to more complex problem-solving depending on the employer.

What are the key skills and qualifications needed to thrive as an entry level remote AI trainer?

To thrive as an Entry Level Remote AI Trainer, you typically need strong written communication, critical thinking, and a basic understanding of technology, often supported by a bachelor's degree or equivalent experience. Familiarity with annotation platforms, collaboration tools, and sometimes foundational knowledge of AI concepts or data labeling systems is beneficial. Attention to detail, adaptability, and the ability to work independently are crucial soft skills for excelling in this role. These skills ensure high-quality data contributions, effective remote collaboration, and the reliable training of AI models.

How much do entry-level AI trainers make?

Entry-level AI trainers typically earn between $30,000 and $50,000 annually, depending on the company, location, and required skills. These roles often involve tasks like data annotation, model testing, and using tools such as annotation platforms or machine learning frameworks.

How to get hired as an entry level remote AI trainer?

To get hired as an entry-level remote AI trainer, candidates should have strong communication skills, basic understanding of machine learning concepts, and experience with data annotation or labeling tools. Building a portfolio of relevant projects and applying through online job platforms can improve chances, while some roles may require familiarity with specific tools like TensorFlow or Python. Certifications in data science or AI can also enhance eligibility for such positions.

What are some common challenges faced by entry level remote AI trainers, and how can they be addressed?

Entry Level Remote AI Trainers often encounter challenges such as understanding complex annotation guidelines, maintaining consistency in labeling, and managing communication across distributed teams. To address these issues, it's helpful to actively participate in training sessions, ask clarifying questions when guidelines are unclear, and leverage collaboration tools like Slack or project management platforms to stay connected with teammates and supervisors. Regular feedback sessions and quality checks also support continual improvement and help ensure high annotation accuracy.
What are the most commonly searched types of Remote Ai Trainer jobs in Wisconsin? The most popular types of Remote Ai Trainer jobs in Wisconsin are:
What are popular job titles related to Entry Level Remote Ai Trainer jobs in Wisconsin? For Entry Level Remote Ai Trainer jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Entry Level Remote Ai Trainer jobs? Cities in Wisconsin with the most Entry Level Remote Ai Trainer job openings:
Infographic showing various Entry Level Remote Ai Trainer job openings in Wisconsin as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

AI Trainer - Microbiology Expert

micro1 AI

Milwaukee, WI โ€ข Remote

$70 - $90/hr

Part-time

Posted 10 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 โ€” 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. Bachelorโ€™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 (Masterโ€™s or PhD) in a relevant field.