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Ai Trainer No Experience Jobs in Decatur, GA (NOW HIRING)

micro1 AI

Legal Counsel - AI Trainer

Sandy Springs, GA · Remote

$140 - $350/hr

No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is tailored for US-based legal professionals with backgrounds at top-tier law firms, seeking to ...

New

micro1 AI

Legal Counsel - AI Trainer

South Fulton, GA · Remote

$140 - $350/hr

No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is tailored for US-based legal professionals with backgrounds at top-tier law firms, seeking to ...

New

micro1 AI

Legal Counsel - AI Trainer

Atlanta, GA · Remote

$140 - $350/hr

No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is tailored for US-based legal professionals with backgrounds at top-tier law firms, seeking to ...

New

DataAnnotation

Treasury Analyst - AI Trainer

Atlanta, GA · Remote

$50 - $100/hr

We're seeking experienced finance professionals with advanced degrees (MBA+) and professional ... Review and improve AI Assistant answers to questions about macro trends, corporate finance, and ...

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Ai Trainer No Experience information

See Decatur, GA salary details

$13

$24

$35

How much do ai trainer no experience jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for ai trainer no experience in Decatur, GA is $24.15, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $25.82 per hour, depending on experience, location, and employer.

What is the difference between Ai Trainer No Experience vs Data Annotator?

AspectAi Trainer No ExperienceData Annotator
Required CredentialsBasic computer skills, no formal certification neededBasic training in annotation tools, no formal certification
Work EnvironmentRemote or office-based, 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 IntentUnderstanding entry-level AI training rolesLearning about data labeling jobs for AI

Both roles involve working with data to support AI development, but Ai Trainer No Experience typically focuses on training AI models through interactive tasks, while Data Annotator primarily labels data to prepare datasets. Ai Trainer roles may require more interaction with AI systems, whereas Data Annotator roles focus on data accuracy and consistency.

What job can I get in AI trainer with no experience?

Entry-level roles related to AI training include data annotation, labeling, or data entry positions that support AI model development. These jobs often require basic computer skills and attention to detail, and some may offer on-the-job training or require minimal prior experience. Gaining familiarity with AI concepts and tools like annotation platforms can improve job prospects.

What skills and qualifications are needed to become an AI trainer with no experience?

To thrive as an AI Trainer with no experience, you typically need strong analytical skills, attention to detail, and proficiency in written and verbal communication, often supported by a bachelor's degree in a relevant field. Familiarity with data annotation tools, basic understanding of AI concepts, and experience with platforms like spreadsheets or text editors are commonly required. Adaptability, curiosity, and a willingness to learn new technologies help candidates stand out in this entry-level position. These skills are important because they ensure high-quality data labeling, clear feedback for AI models, and continuous improvement in rapidly evolving AI projects.

How to get hired as an AI trainer?

To get hired as an AI trainer, candidates should develop a strong understanding of machine learning concepts, data annotation, and natural language processing. Gaining experience with data labeling tools and earning relevant certifications can improve job prospects. Entry-level roles often require minimal prior experience but emphasize technical skills and attention to detail.

What does an AI trainer do?

As an entry-level AI Trainer, your daily tasks often include reviewing and labeling data, assessing AI-generated outputs for accuracy, and providing written feedback to help improve machine learning models. You'll collaborate closely with data scientists, machine learning engineers, and sometimes product managers to ensure that AI systems meet quality standards. While the role is often remote or hybrid, regular team meetings and feedback sessions are common to align on project goals and address challenges. This collaborative environment is a great opportunity to learn from more experienced professionals and gain exposure to AI development processes.

What is an AI trainer?

An AI Trainer is a professional who helps improve artificial intelligence systems by providing feedback, labeling data, and evaluating outputs to ensure the AI performs accurately. Many entry-level AI Trainer positions do not require prior experience in AI or technology, as employers often provide on-the-job training for specific tasks. Strong attention to detail, good communication skills, and basic computer literacy are usually the main requirements. If you have a willingness to learn and are comfortable following guidelines, you can start a career as an AI Trainer even without prior experience.

Can I become an AI trainer with no experience?

AI trainer roles often do not require prior experience, as they focus on labeling data, understanding AI models, and providing feedback. Basic skills in data management, attention to detail, and familiarity with AI tools can help you start, and some employers offer training or entry-level positions for beginners.
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Ai Trainer No Experience jobs near you

AI Trainer - Microbiology Expert

micro1 AI

Sandy Springs, GA • Remote

$70 - $90/hr

Part-time

Posted 6 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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