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Flexible Ai Model Training Jobs (NOW HIRING)

Applied AI Engineer

$225K - $275K/yr

Design and build the pipelines that generate synthetic tasks and evaluation environments for AI model training - this is the factory floor of AI development, producing training fuel for next ...

Solutions Architect, AI Models

Santa Clara, CA · On-site

$74 - $97.50/hr

... the AI model lifecycle--from data processing and orchestration to training, post-training, reinforcement learning (RL), evaluation, and model optimization. • Support a broad model portfolio ...

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

Model Training, Validation & Evaluation * Statistics & ML Algorithms * MLOps * CI/CD Pipelines * Docker * Kubernetes * REST APIs & Microservices * Cloud Platforms (Azure / AWS / GCP) * AI Model ...

AI Lead Engineer

Dallas, TX · Remote

$101K - $133K/yr

... Model Training, Validation & Evaluation Statistics & ML Algorithms MLOps CI/CD Pipelines Docker Kubernetes REST APIs & Microservices Cloud Platforms (Azure / AWS / GCP) AI Model Deployment ...

AI Lead Engineer

Dallas, TX · On-site

$150 - $210/hr

Model Training, Validation & Evaluation * Statistics & ML Algorithms * MLOps * CI/CD Pipelines * Docker * Kubernetes * REST APIs & Microservices * Cloud Platforms (Azure / AWS / GCP) * AI Model ...

Posted today

AI Lead Engineer (Remote)

Dallas, TX · Remote

$104K - $138K/yr

Model Training, Validation & Evaluation * Statistics & ML Algorithms * MLOps * CI/CD Pipelines * Docker * Kubernetes * REST APIs & Microservices * Cloud Platforms (Azure / AWS / GCP) * AI Model ...

AI/ML SME

Arlington, VA · On-site

$190K - $235K/yr

CPMG offers flexible, integrative solutions for Department of Defense (DoD) contractors, among ... Document model assumptions, data inputs, and training parameters for reproducibility. * Conduct ...

Showing results 21-40

Flexible Ai Model Training information

See salary details

$10

$31

$67

How much do flexible ai model training jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for flexible ai model training in the United States is $31.37, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $39.18 per hour, depending on experience, location, and employer.

What is the difference between Flexible Ai Model Training vs Data Scientist?

AspectFlexible Ai Model TrainingData Scientist
Required CredentialsKnowledge of AI frameworks, programming skills, basic understanding of machine learningDegree in data science, statistics, or related field; strong analytical skills
Work EnvironmentAI development teams, machine learning labs, tech companiesResearch institutions, tech firms, consulting agencies
Industry UsageAI model deployment, machine learning projects, AI product developmentData analysis, predictive modeling, business insights

Flexible Ai Model Training focuses on developing and fine-tuning AI models using programming and machine learning frameworks, often within technical teams. Data Scientists analyze data, build models, and generate insights. While both roles require analytical skills, Flexible Ai Model Training emphasizes technical AI skills, whereas Data Scientists focus on data analysis and interpretation.

More about Flexible Ai Model Training jobs
What cities are hiring for Flexible Ai Model Training jobs? Cities with the most Flexible Ai Model Training job openings:
What are the most commonly searched types of Ai Model Training jobs? The most popular types of Ai Model Training jobs are:
What states have the most Flexible Ai Model Training jobs? States with the most job openings for Flexible Ai Model Training jobs include:
Infographic showing various Flexible Ai Model Training job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $65,246 per year, or $31.4 per hour.

Computer Science Subject Matter Expert (AI Training)

Weekday AI

Remote

Contractor

Re-posted 8 days ago


Job description

This role is for one of our clients
$20 - $40/hourpay
Role Title: Computer Science Subject Matter Expert (AI Training)
Role Type: Contractor
Location: Remote
We are seeking a Computer Science Subject Matter Expert to contribute to the development of next-generation AI systems by applying deep technical expertise to real-world computer science challenges. In this role, you will analyze, evaluate, and create high-quality technical content that enhances the reasoning, accuracy, and performance of AI models. Prior experience in Artificial Intelligence is not required-your expertise in Computer Science is the primary qualification.
Requirements
Key Responsibilities
Technical Analysis & Problem Solving
  • Analyze and evaluate complex computer science problems, solutions, and methodologies across various domains.
  • Assess technical approaches and recommend well-structured, scalable, and efficient solutions based on industry best practices.
  • Ensure technical accuracy, logical consistency, and clarity in all deliverables.
Content Development & Documentation
  • Author, review, and refine technical documentation, including system design documents, research papers, technical specifications, and architecture write-ups.
  • Develop real-world computer science scenarios, datasets, and case studies to support AI model training and evaluation.
  • Create structured technical explanations that improve AI understanding and reasoning.
AI Model Evaluation
  • Review AI-generated responses for technical correctness, completeness, and adherence to computer science principles.
  • Identify inaccuracies, inconsistencies, and opportunities for improvement while providing constructive feedback.
  • Support the evaluation and continuous enhancement of AI-driven tools through domain expertise.
Collaboration & Quality Improvement
  • Work closely with project coordinators and subject matter experts to refine task guidelines and improve data quality.
  • Provide clear written and verbal feedback to enhance AI model relevance, robustness, and performance.
  • Collaborate in a remote environment while maintaining high-quality deliverables and documentation.
Required Skills & Qualifications
  • Bachelor's, Master's, or PhD in Computer Science or a related field.
  • Strong understanding of core computer science concepts, including algorithms, data structures, operating systems, databases, networking, and software engineering.
  • Experience writing technical documentation, research papers, system design documents, or technical reports.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong written and verbal communication skills with the ability to explain complex technical concepts clearly.
  • Ability to work independently and deliver high-quality work in a remote environment.
Preferred Qualifications
  • Expertise in one or more specialized domains such as:
    • Algorithms & Data Structures
    • Distributed Systems
    • Computer Networks
    • Databases
    • Artificial Intelligence & Machine Learning
    • Cloud Computing
    • Cybersecurity
  • Experience participating in technical reviews, research projects, or open-source contributions.
  • Proven ability to simplify complex technical concepts for both technical and non-technical audiences.
  • Familiarity with current trends and emerging technologies in computer science.
Must-Have Skills
  • Computer Science
  • Algorithms & Data Structures
  • System Design
  • Technical Documentation
  • Problem Solving

Good-to-Have Skills
  • Distributed Systems
  • Databases
  • Networking
  • Artificial Intelligence
  • Research & Publications
  • Open Source Contributions
  • Software Engineering
  • Technical Reviews