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Remote Advanced Ai Data Trainer Jobs (NOW HIRING)

Seattle (Remote, some travel required) We are seeking a highly technical, client-facing AI & Data ... Advanced AI Strategy: Design robust AI/ML solutions that advance beyond foundational LLM ...

AI Data Engineer

Fort Belvoir, VA · On-site +1

$129K - $155K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an AI Data ... enable advanced analytics and decision-making. The AI Data Engineer will collaborate with cross ...

AI Data Engineer

Fort Belvoir, VA · Remote

$129K - $155K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an AI Data ... enable advanced analytics and decision-making. The AI Data Engineer will collaborate with cross ...

AI Data Architect

$65.25 - $84/hr

AI Data Architect Location: Denver, CO/REMOTE This position is for a remote work environment ... NIST AI Framework training or certification

Remote, US * Commitment: 4 weeks * Employment Type: Freelance Contract * Pay Rate: $15/hour What ... data to train the world's most advanced AI systems. We're building smarter, more human AI with a ...

... most advanced AI systems in the world? We're looking for a Senior Python Full-Stack Engineer to ... This is a fully remote, flexible contract role for an experienced engineer who thrives on high ...

... advanced AI systems? We're looking for a Senior Python Full-Stack Engineer to design and build the ... Remote * Commitment : 20-40 hours/week What You'll Do * Design, build, and optimize high ...

... AI builds the foundational training data that powers the world's most advanced AI models. We ... Remote. Flexible. Project-based. Built for students. What You'll Do AI Voice Data Generation

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Remote Advanced Ai Data Trainer information

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How much do remote advanced ai data trainer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for remote advanced ai data trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

What is a Remote Advanced AI Data Trainer?

A Remote Advanced AI Data Trainer is a professional who works remotely to create, label, and refine data used to train artificial intelligence (AI) models. They ensure the data is accurate and relevant, often working with complex datasets and advanced AI algorithms. Their tasks may include annotating text, images, or audio, as well as providing feedback to improve AI performance. This role requires strong attention to detail, familiarity with AI concepts, and the ability to work independently from any location.

What are the key skills and qualifications needed to thrive as a Remote Advanced AI Data Trainer, and why are they important?

To thrive as a Remote Advanced AI Data Trainer, you need strong analytical skills, a solid understanding of machine learning concepts, and a relevant degree or experience in data science or computer science. Familiarity with data annotation tools, AI training platforms, and programming languages like Python is often required. Excellent attention to detail, communication, and problem-solving abilities help set top performers apart in this role. These skills ensure high-quality data labeling and training, directly impacting the accuracy and effectiveness of AI systems.

What is the difference between Remote Advanced Ai Data Trainer vs Remote AI Data Annotator?

AspectRemote Advanced Ai Data TrainerRemote AI Data Annotator
CredentialsTypically requires experience in AI, machine learning, or data science; certifications in data labeling or AI tools are commonOften requires basic data labeling skills; certifications are less common
Work EnvironmentRemote, collaborative with AI teams, involves training models and refining data setsRemote, focused on labeling and annotating data sets, often solo tasks
Industry UsageUsed in AI development, machine learning projects, and data science teamsUsed across industries for preparing training data for AI models

The Remote Advanced Ai Data Trainer and Remote AI Data Annotator roles both involve working with data for AI projects. However, the trainer typically requires more specialized knowledge, including AI concepts and model training experience, whereas the annotator focuses on labeling data. The trainer's role is more collaborative and involves refining AI models, while the annotator primarily performs data preparation tasks.

What are some common challenges faced by Remote Advanced AI Data Trainers, and how can they be addressed?

Remote Advanced AI Data Trainers often encounter challenges such as maintaining clear communication with global teams, managing complex annotation guidelines, and ensuring data quality while working independently. To address these, it’s important to establish regular check-ins, use collaborative tools for feedback, and stay updated on best practices for data labeling. Proactively asking questions and participating in team discussions can also help ensure consistency and clarity in your work.
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What cities are hiring for Remote Advanced Ai Data Trainer jobs? Cities with the most Remote Advanced Ai Data Trainer job openings:
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Infographic showing various Remote Advanced Ai Data Trainer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.
Software Engineer - AI & Data Platforms

Software Engineer - AI & Data Platforms

Expleo

Minneapolis, MN • On-site, Remote

$65 - $75/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Overview

Location: Remote within USAEmployment Type: Full-time

Build the Future of AIDriven Healthcare Data

Are you excited about building scalable AI and data platforms that make a realworld impact? Trissential is partnering with a leading healthcare organization to bring on a Software Engineer who will help design and scale nextgeneration AI, LLM, and data systems used across clinical and analytics platforms.

This is a highimpact role where your engineering work directly supports patient outcomes, advanced analytics, and enterprise AI initiatives. If you enjoy building robust backend systems, working with data pipelines, and collaborating across AI and platform teams-this role was built for you.

What's in It for You?

  • Work on productiongrade AI and LLM systems in a real enterprise healthcare environment
  • Design agenttoagent communication platforms and scalable data pipelines
  • Collaborate with AI, data, and platform engineering teams
  • Build solutions that support clinical analytics, ML, and data science initiatives
  • Gain exposure to modern cloud, microservices, and observability practices

Your Role & Responsibilities

  • Design and implement an MCP (Model/Agent Communication Platform) enabling agent orchestration, communication, and observability
  • Build and scale ETL/ELT data pipelines supporting AI/LLM and analytics use cases
  • Develop frameworks for agent monitoring, control, and traceability
  • Integrate AI systems with enterprise data platforms, APIs, and cloud services
  • Support data ingestion, transformation, and orchestration workflows
  • Ensure performance, scalability, resilience, and reliability of AIdriven systems
  • Participate in Agile and DevOps practices, including CI/CD pipelines
  • Troubleshoot complex system issues using rootcause analysis and observability tools
  • Produce and maintain clear technical documentation

Skills & Experience You Should Possess

  • 5+ years of experience in software engineering or data engineering
  • Strong proficiency in Python
  • Experience building APIs and microservicesbased architectures
  • Handson experience with data pipelines and distributed or eventdriven systems
  • Solid understanding of observability (logging, monitoring, tracing)
  • Experience working in Agile development environments
  • Strong problemsolving, communication, and systemdesign skills

Bonus Points If You Have

  • Experience with AI/LLM integration and workflows
  • Exposure to agent orchestration frameworks (LangChain, Semantic Kernel, similar)
  • Familiarity with LLMOps or MLOps practices
  • Experience with vector databases, embeddings, or RAG architectures
  • Cloud experience with Azure, GCP, or AWS
  • Experience in healthcare or regulated industries

Education & Certifications You Need

  • Bachelor's degree in Computer Science, Engineering, or a related fieldOR
  • Associate's degree with 2+ additional years of relevant engineering experienceOR
  • 2+ years of handson experience coding applications/services in a highlevel language

What We Offer

At Trissential , we value flexibility, growth, and meaningful work. You'll join our client's team while receiving full support from Trissential.

  • Competitive Compensation -$65-$75 per hour. Final compensation is determined based on skill alignment, years of experience, and fair, marketbased rates by geography.
  • Comprehensive Benefits for you and your dependents - Medical, dental, vision, free telehealth, HSA with company contribution, life and disability insurance, and 401k with matching
  • Paid Time Off - Offers paid time away from work
  • HighImpact Work - Build systems used in real clinical and AI decisionmaking
  • Career Growth - Work with advanced AI, data, and cloud technologies
  • Collaborative Culture - Partner with highly skilled engineers, data scientists, and architects

This role is open only to candidates authorized to work in the United States.

Ready to be part of something exciting?

If you're passionate about AIdriven systems, data platforms, and building technology that truly matters-apply today and take the next step in your engineering career with Trissential.

Employment Type: OTHER