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Ai Data Training Jobs in Raleigh, NC (NOW HIRING)

micro1 AI

AI Trainer - Microbiology Expert

Raleigh, NC · Remote

$70 - $90/hr

Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.

micro1 AI

AI Trainer - Microbiology Expert

Cary, NC · Remote

$70 - $90/hr

Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.

micro1 AI

AI Trainer - Microbiology Expert

Durham, NC · Remote

$70 - $90/hr

Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.

Pwc

US Tech - AI Engineering Manager

Raleigh, NC

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... specialized training and/or progressively responsible work experience in technology for each ...

Redhat

Senior AI FinOps Data Analyst

Raleigh, NC · On-site +1

$88K - $141K/yr

Experience building automations, internal tools, or data pipelines - including use of AI-assisted ... training, external market value, and internal pay equity. Annual salary is one component of Red Hat ...

Deloitte

Senior Forward Deployed Engineer- AWS

Raleigh, NC · On-site

$101K - $139K/yr

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ... and training; licensure and certifications; and other business and organizational needs. The ...

Deloitte

Lead Forward Deployed Engineer - AWS

Raleigh, NC

$99K - $131K/yr

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ... and training; licensure and certifications; and other business and organizational needs. The ...

DataAnnotation

Treasury Analyst - AI Trainer

Raleigh, NC · Remote

$50 - $100/hr

To succeed in this position, you should have expert-level financial reasoning and formal training ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

Treasury Analyst - AI Trainer

Cary, NC · Remote

$50 - $100/hr

To succeed in this position, you should have expert-level financial reasoning and formal training ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

DataAnnotation

Treasury Analyst - AI Trainer

Durham, NC · Remote

$50 - $100/hr

To succeed in this position, you should have expert-level financial reasoning and formal training ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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All JobsAi Data Training JobsAi Data Training Jobs in Raleigh, NC

Ai Data Training information

What are the key skills and qualifications needed to thrive as an AI data trainer, and why are they important?

To thrive as an AI Data Trainer, you need a solid understanding of data annotation, machine learning fundamentals, and attention to detail, often backed by experience in data science or a related field. Familiarity with data labeling tools, annotation platforms, and version control systems is typically required. Strong analytical thinking, communication skills, and the ability to follow complex guidelines set top performers apart in this role. These skills ensure that high-quality, accurate datasets are produced to effectively train and improve AI models.

What is the difference between Ai Data Training vs Data Analyst?

AspectAi Data TrainingData Analyst
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI/ML frameworksDegree in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and other industries
Employer & Industry UsagePrimarily in AI development and machine learning projectsAcross various sectors analyzing data to inform decisions

Ai Data Training involves preparing and labeling data for AI models, focusing on machine learning algorithms. Data Analysts interpret data to generate insights for business decisions. While both roles work with data, Ai Data Training is more technical and model-focused, whereas Data Analysts focus on analysis and reporting.

What is AI data training?

AI data training refers to the process of teaching artificial intelligence systems, such as machine learning models, to recognize patterns and make decisions by feeding them large amounts of labeled data. This involves collecting, annotating, and preprocessing data so that the AI can learn from examples and improve its performance over time. Data trainers play a crucial role in ensuring that the data used is accurate, diverse, and relevant to the AI's intended tasks. Effective AI data training helps models become more accurate, reliable, and capable of handling real-world scenarios.

What are some common challenges faced in AI data training roles, and how can they be effectively managed?

Professionals in AI Data Training often encounter challenges such as ensuring data accuracy, managing large and potentially unstructured datasets, and maintaining consistency in labeling. These challenges can be managed through rigorous quality control checks, adopting clear annotation guidelines, and utilizing collaborative tools that streamline the review process. Being detail-oriented and communicating effectively with data scientists and engineers also helps in resolving ambiguities and improving overall data quality.

What are popular job titles related to Ai Data Training jobs in Raleigh, NC?

For Ai Data Training jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Ai Data Training jobs in Raleigh, NC look for?

The top searched job categories for Ai Data Training jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Ai Data Training jobs?

Cities near Raleigh, NC with the most Ai Data Training job openings:

Ai Data Training jobs near you
Infographic showing various Ai Data Training job openings in Raleigh, NC as of August 2026, with employment types broken down into 4% Internship, 70% Full Time, 21% Part Time, and 5% Contract. Highlights an 73% In-person, and 27% Remote job distribution.

AI Training Specialist - Life Sciences

micro1 AI

Durham, NC • Remote

$90 - $120/hr

Part-time

Posted 18 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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