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Junior Training Ai Models Jobs (NOW HIRING)

Saransh Inc

Junior Gen AI Engineer

Santa Clara, CA · On-site

Role: Junior GenAI Engineer Location: Santa Clara, CA (Onsite from Day 1) Job Type: Contract ... model training and performance. * Ensure robust data handling practices including cleaning ...

PointClickCare

OR · Hybrid

... training and development to nurture innovation throughout the employee journey. Join us in ... AI Models across the entire product portfolio. To succeed in this role, you draw upon your ...

New

Biohub

Staff Research Scientist, AI Safety

New York, NY · On-site +1

$241K - $301K/yr

Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency ...

Jobs for Humanity

Speakers/Writers

Rockford, IL · On-site

$15 - $60/hr

You will play a pivotal role in training AI models,ensuring the accuracy and relevance of Arabic content generated byAI. This position allows for flexible scheduling, and yourcontributions will ...

Unconventional AI

AI Systems, Training

The role involves building a next-generation ML model training platform and optimizing training systems for advanced AI models and hardware platforms. Responsibilities : • Build and maintain highly ...

Jobs for Humanity

Speakers/Writers

Kansas City, MO

$15 - $60/hr

You will play a pivotal role in training AI models, ensuring the accuracy and relevance of Arabic content generated by AI. This position allows for flexible scheduling, and your contributions will ...

Jobs for Humanity

Speakers/Writers

Vancouver, WA

$15 - $60/hr

You will play a pivotal role in training AI models, ensuring the accuracy and relevance of Arabic content generated by AI. This position allows for flexible scheduling, and your contributions will ...

AIG

AI Model Validation Lead, GenAI

Atlanta, GA · On-site

... AI models, working closely with data scientists and engineers to validate models and recommend ... junior team members. Company : American International Group provides property insurance, life ...

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Junior Training Ai Models information

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How much do junior training ai models jobs pay per year?

As of Aug 9, 2026, the average yearly pay for junior training ai models in the United States is $71,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by junior training AI models professionals and how can they be addressed?

Junior Training AI Models often face challenges such as ensuring high-quality data labeling, understanding complex annotation guidelines, and maintaining consistency across large datasets. To address these, it’s important to ask clarifying questions, actively participate in team discussions, and utilize feedback from senior annotators or quality assurance leads. Regular communication with team members and ongoing learning about AI model requirements can significantly improve accuracy and confidence in the role.

What is the difference between Junior Training Ai Models vs Data Annotators?

AspectJunior Training Ai ModelsData Annotators
Required CredentialsBasic understanding of AI/ML concepts, sometimes a degree in computer science or related fieldTypically high school diploma or equivalent; training provided on annotation tools
Work EnvironmentCollaborative teams, often in tech companies or AI startupsData labeling centers, remote or onsite
Industry UsageAI development, machine learning projects, data preparationData labeling, data quality assurance
Common Search/ComparisonYesYes

Junior Training Ai Models involve developing and fine-tuning AI systems, requiring some technical knowledge. Data Annotators focus on labeling data to train AI models, often with minimal technical background. Both roles are essential in AI projects but differ in responsibilities and skill requirements.

What does a junior training AI models professional do?

A Junior Training AI Models professional assists in preparing, labeling, and organizing datasets used to train artificial intelligence algorithms. They may help ensure data quality, follow annotation guidelines, and support more senior data scientists or machine learning engineers in developing and refining AI models. This entry-level role is crucial for ensuring that AI systems learn from accurate and relevant information. Juniors might also help with testing models, reporting issues, and suggesting improvements to training processes.

What are the key skills and qualifications needed to thrive as a junior training AI models professional?

To thrive as a Junior Training AI Models Specialist, you typically need foundational knowledge in computer science, data analysis, and machine learning concepts, often supported by a relevant degree or coursework. Familiarity with programming languages like Python, machine learning frameworks (such as TensorFlow or PyTorch), and data annotation tools is commonly required. Attention to detail, problem-solving skills, and effective communication are standout soft skills for this role. These competencies are crucial for accurately training models, collaborating with technical teams, and ensuring high-quality AI outputs.
What cities are hiring for Junior Training Ai Models jobs? Cities with the most Junior Training Ai Models job openings:
What are the most commonly searched types of Training Ai Models jobs? The most popular types of Training Ai Models jobs are:
What states have the most Junior Training Ai Models jobs? States with the most job openings for Junior Training Ai Models jobs include:
Junior Training Ai Models jobs near you

Junior AI Solutions Engineer - AI Taskforce

Tencate Grass

Chattanooga, TN • On-site

Full-time

Re-posted 27 days ago

Job description

Junior AI Solutions Engineer – AI Taskforce

TenCate
Location: Flexible, USA / Global
Job Type: Full-Time
Experience Level: Early Career, 0–3 Years
Travel: Minimal, depending on role requirements
Reports To: Chief Information Officer, through the AI Taskforce

Company Overview

TenCate Grass is a global leader in synthetic turf systems, operating a vertically integrated value chain from polymer production through recycling. As artificial intelligence becomes increasingly important to innovation, operational efficiency, and customer service, TenCate is expanding its enterprise AI capabilities through a dedicated AI Taskforce.

The AI Taskforce develops scalable, governed, and business-aligned AI solutions supporting TenCate operations across EMEA, the United States, and APAC.

Position Summary

TenCate is seeking a Junior AI Solutions Engineer to support the design, development, and deployment of enterprise AI solutions within a governed delivery framework.

This position will collaborate with business stakeholders, product owners, senior engineers, and IT governance teams to deliver secure, compliant, and scalable AI capabilities that create measurable business value.

The role is ideal for an early-career professional seeking to build a strong foundation in enterprise AI engineering through mentorship, structured processes, and exposure to global business operations.

Key Responsibilities

Responsibilities include, but are not limited to:

  • Support the development of AI solutions across commercial, operational, and marketing functions.

  • Work within TenCate’s enterprise AI technology stack, including Claude, Azure, Microsoft Fabric, Copilot, and Power BI.

  • Assist with building AI models, workflows, integrations, and reusable components aligned with business requirements.

  • Support the testing, deployment, monitoring, and optimization of AI solutions.

  • Help monitor data quality, model performance, system reliability, and solution adoption.

  • Assist with maintaining data pipelines, system integrations, and technical components.

  • Follow established architecture, cybersecurity, data-governance, and compliance standards.

  • Participate in structured project intake, validation, documentation, and approval processes.

  • Help translate business requirements and operational challenges into practical technical solutions.

  • Collaborate with senior engineers and cross-functional teams across global regions.

  • Assist with user onboarding, training, playbooks, and knowledge materials for new AI solutions.

  • Gather user feedback and support continuous improvement after implementation.

  • Research emerging AI capabilities and contribute to internal best practices.

Qualifications and Experience

  • Bachelor’s or master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

  • Zero to three years of relevant experience, including internships, academic projects, or professional experience.

  • Foundational knowledge of Python, SQL, and data-processing concepts.

  • Basic understanding of APIs, data pipelines, and system integration.

  • Familiarity with the Microsoft ecosystem, including Azure, Power Platform, or Copilot.

  • Basic understanding of AI and large language model tools, such as Claude or Copilot.

  • Awareness of data quality, cybersecurity, privacy, and governance principles.

  • Ability to translate technical concepts into clear, business-focused communication.

  • Strong analytical, organizational, and problem-solving skills.

  • Coursework, certifications, or hands-on projects involving AI, data, software development, or automation preferred.

Technical Skills and Core Competencies

  • Foundational Python and SQL programming.

  • Data processing, validation, and quality monitoring.

  • API and system-integration fundamentals.

  • Basic AI and large language model application development.

  • Familiarity with Azure, Microsoft Fabric, Power Platform, Copilot, or Power BI.

  • Technical documentation and process development.

  • Structured problem-solving and attention to detail.

  • Strong written and verbal communication skills.

  • Cross-functional collaboration and stakeholder engagement.

  • Curiosity, sound judgment, and a pragmatic understanding of AI capabilities and limitations.

Preferred Experience

  • Exposure to enterprise environments or governed technology-delivery models.

  • Experience with Power BI, Azure Machine Learning, or Microsoft Fabric.

  • Previous involvement in AI, data, software, or automation projects.

  • Completed coursework, certifications, or professional-development programs involving AI modeling, data management, or application development.

Example AI Domains

  • Data Scraping and Modeling: AI-based agents that identify potential turf sales leads using public information.

  • Commercial Intelligence: AI-driven Salesforce insights supporting sales teams.

  • Supply Chain Optimization: Predictive models supporting planning, quality, and logistics.

  • Circular Economy and Sustainability: AI solutions supporting ONE-DNA™ recyclability and traceability.

  • Risk and Regulatory Monitoring: Automated compliance and sustainability reporting.

Growth Path

This position offers a development path toward roles such as:

  • AI Solutions Engineer.

  • AI Platform Engineer.

  • AI Architect.

Success Criteria

  • Demonstrated growth in AI engineering and enterprise IT capabilities.

  • Effective contribution within established governance frameworks.

  • Strong collaboration with business stakeholders and IT teams.

  • Delivery of AI solutions that are adopted and used by the business.

  • Consistent development of reliable documentation and reusable technical components.

Work Environment

This position offers flexible location options based on business and role requirements. The Junior AI Solutions Engineer will collaborate with stakeholders and technical teams across EMEA, the United States, and APAC.

Minimal travel may be required depending on assigned projects and business needs.

Work Authorization

Candidates must be authorized to work in the United States without current or future employer sponsorship. TenCate is unable to provide visa sponsorship for this position.

Equal Employment Opportunity

TenCate is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by applicable law.

Apply