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Remote Advanced Ai Data Trainer Jobs (NOW HIRING)

Remote (Occasional travel as needed) Reports to: Global AI Center of Excellence Lead Why Us ... This role focuses on applying machine learning, generative AI, and advanced data engineering ...

Remote (Occasional travel as needed) Reports to: Global AI Center of Excellence Lead Why Us ... This role focuses on applying machine learning, generative AI, and advanced data engineering ...

Practice Manager - AI & Data

Troy, MI · On-site +1

$160K - $190K/yr

Provide leadership across advanced AI & Data domains: * Generative AI & LLM ecosystems (prompt ... training, and experience MANDATORY FOR ALL REMOTE/HYBRID AND/OR CALIFORNIA, COLORADO, MARYLAND ...

AI Data Architect /REMOTE

Denver, CO · Remote

$75 - $80/hr

Advanced analytical and problem-solving skills. Preferred Skills & Experience * NIST AI Framework ... training or certification. * Residency in Colorado is preferred. Join us to shape the future of AI ...

Senior AI Data Architect

$68.75 - $92/hr

Remote, USA Posting Start Date: 4/7/26 Req Id: 7594 Required Travel: 0 - 20% Remote, Onsite or ... You will be a key technical leader in shaping how Modine leverages data, advanced analytics, and ...

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

Floral Park, NY · Remote

$122K - $146K/yr

AI Data Engineer Salary Range: 100k$/Annum-150k$/Annum Location: 100% Remote (Continental United ... Design and operate large-scale data pipelines supporting AI training, evaluation, and continual ...

AI Data Engineer

Norcross, GA · Remote

$100K - $150K/yr

AI Data Engineer Location: 100% Remote (Continental United States) Position Type: In-house Bright ... Design and operate large-scale data pipelines supporting AI training, evaluation, and continual ...

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

San Antonio, TX · Remote

$103K - $124K/yr

AI Data Engineer Location: 100% Remote (Continental United States) Position Type: In-house Bright ... Design and operate large-scale data pipelines supporting AI training, evaluation, and continual ...

AI Data Engineer

Bartlett, IL · Remote

$113K - $136K/yr

AI Data Engineer Location: 100% Remote (Continental United States) Position Type: In-house Bright ... Design and operate large-scale data pipelines supporting AI training, evaluation, and continual ...

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Remote Advanced Ai Data Trainer information

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$13

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

As of Jun 29, 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.
More about Remote Advanced Ai Data Trainer jobs
What cities are hiring for Remote Advanced Ai Data Trainer jobs? Cities with the most Remote Advanced Ai Data Trainer job openings:
What are the most commonly searched types of Advanced Ai Data Trainer jobs? The most popular types of Advanced Ai Data Trainer jobs are:
What states have the most Remote Advanced Ai Data Trainer jobs? States with the most job openings for Remote Advanced Ai Data Trainer jobs include:
What job categories do people searching Remote Advanced Ai Data Trainer jobs look for? The top searched job categories for Remote Advanced Ai Data Trainer jobs are:
Infographic showing various Remote Advanced Ai Data Trainer job openings in the United States as of June 2026, with employment types broken down into 73% Full Time, 21% Part Time, 5% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.
AI Data Intelligence Lead

Full-time

Posted 23 days ago


Key responsibilities

  • Design and implement AI-driven systems to enrich, harmonize, and optimize enterprise data quality.

  • Design modern data platforms and architectures that support AI systems, including semantic indexing, knowledge graphs, and real-time data pipelines.

  • Integrate AI data intelligence capabilities across enterprise systems and collaborate with cross-functional teams to deliver production-ready AI data intelligence solutions.


Job description

All applicants must provide a LinkedIn profile with a clear picture of themselves.
AI Data Intelligence Lead
AI Foundry | NewRocket
Location: Remote (Occasional travel as needed)
Reports to: Global AI Center of Excellence Lead
Why Us
NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence. With two decades of experience guiding clients to realize the full potential of the ServiceNow AI Platform, we are one of the largest pure-play ServiceNow partners, uniquely focused on enabling enterprises to adopt AI they trust-AI that delivers lasting business value.
We #GoBeyondWorkflows to create new kinds of experiences for our customers.
Come join our Crew!
Role Overview
NewRocket is seeking an AI Data Intelligence Lead to design and build AI-powered capabilities that modernize enterprise data and transform it into AI-ready operational context.
This role focuses on applying machine learning, generative AI, and advanced data engineering techniques to enrich, harmonize, and optimize enterprise data. These capabilities enable agentic AI systems, intelligent automation, and enterprise AI platforms to operate on trusted, contextual, and continuously improving data.
As part of the AI Foundry within NewRocket's AI Center of Excellence, this role will help establish the AI Data Readiness layer of the NewRocket Intelligence Platform, enabling scalable AI deployments across enterprise environments including ServiceNow and other operational platforms.
Key Responsibilities
  • AI Data Intelligence
  • Design and implement AI-driven systems that improve enterprise data quality through:
  • AI-powered data enrichment and inference
  • Entity resolution and fuzzy matching
  • Automated classification and taxonomy generation
  • Anomaly detection and data quality monitoring
  • Achema mapping and data harmonization across datasets
  • AI Data Architecture
  • Design modern data platforms that support AI systems, including:
  • Semantic indexing and embeddings
  • Knowledge graphs and ontology frameworks
  • AI-ready data pipelines and enrichment layers
  • Real-time ingestion and contextualization of enterprise data
  • Integrate AI data intelligence capabilities across enterprise systems such as ServiceNow, ERP, CRM, and operational platforms.
  • AI Data Lineage & Observability
  • Establish enterprise capabilities for:
  • AI data lineage and traceability
  • Data provenance across AI pipelines
  • Observability of data quality and enrichment accuracy
  • Explainability and auditability for AI-driven systems
  • Product & Platform Development
  • Translate data intelligence concepts into scalable capabilities including:
  • Reusable data modernization frameworks
  • AI-powered data enrichment services
  • Internal accelerators and intellectual property
  • Client-ready data intelligence solutions
  • Cross-Team Collaboration

Work across:
  • AI / ML Engineering
  • Data Engineering
  • Data Science
  • Forward Deployed Engineers
  • ServiceNow platform teams to deliver production-ready AI data intelligence systems.

Required Experience
  • 8+ years in data engineering, machine learning, or AI-driven data platforms
  • Experience building AI-powered data pipelines or data intelligence systems
  • Strong background in:
  • enterprise data modeling and architecture
  • large-scale data processing
  • Machine learning applied to data systems
  • Experience with technologies such as:
  • Python
  • ML frameworks
  • vector databases
  • knowledge graphs
  • Modern data platforms (Databricks, Snowflake, etc.)
  • Preferred Experience
  • Experience applying LLMs or generative AI to enterprise data systems
  • Experience with semantic retrieval or RAG architecture
  • Familiarity with ServiceNow data models (CMDB, workflow data, knowledge systems)
  • Experience in integrating AI solutions with ServiceNow or other enterprise workflow platforms
  • Experience building data platforms or reusable AI accelerators

Why This Role Matters
Enterprise AI systems depend on trusted, contextual enterprise data. Without modern data intelligence capabilities, even the most advanced AI platforms fail to deliver reliable outcomes.
This role builds the AI Data Intelligence layer that enables enterprise AI systems, autonomous workflows, and agentic platforms to operate effectively.
We Take Care of Our People
NewRocket is committed to a diverse and inclusive workplace. We value and celebrate diversity, believing that every employee matters and should be respected and heard. We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status. For individuals with disabilities who would like to request an accommodation, please contact hr.in@newrocket.com.