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Junior Training Ai Models Jobs (NOW HIRING)

BME Strategies

Junior Engineer, AI

Position Overview BME Strategies is seeking a Junior Engineer, AI to help design and build AI ... Experiment with and integrate large language models (LLMs), AI agents, and emerging frameworks to ...

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

$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 ...

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 ...

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 ...

ITR Group

Junior AI Engineer

Minneapolis, MN · On-site

Opportunity available for Junior AI Engineer to join a growing AI team and help build enterprise ... Develop and support Generative AI applications using Azure AI services and OpenAI models. * Assist ...

AIG

AI Model Validation Lead, GenAI

Atlanta, GA · On-site

... AI models, working closely with data scientists and engineers to validate models and recommend ... and mentor junior team members. Company : American International Group, Inc. (NYSE: AIG) is a ...

RWS Group

Data Annotator for AI Models (Italian)

$56 - $72.75/hr

This information will be used to train and improve generative AI and machine learning models ... • Training will be provided post-hire. • Collaborate closely with RWS Project Managers and ...

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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 Jul 19, 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 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.

How much do AI model trainers make?

AI model trainers, including those working on training and fine-tuning models, typically earn between $50,000 and $120,000 annually depending on experience, location, and company size. Entry-level trainers may start at lower salaries, while experienced professionals with specialized skills in machine learning and data annotation can earn higher wages.

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 is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as senior AI researchers, machine learning directors, or AI executives, which offer compensation in that range. These roles often require advanced skills in data science, deep learning, and experience managing AI projects or teams, and may include bonuses or stock options as part of the total compensation package.

Can I get paid to train AI models?

Junior Training AI Models roles often involve paid work where individuals are compensated for labeling data, fine-tuning algorithms, or improving model accuracy. These positions typically require skills in data annotation, machine learning tools, and sometimes basic programming, and are offered by companies developing AI systems or through freelance platforms.

What are the key skills and qualifications needed to thrive as a Junior Training AI Models Specialist, and why are they important?

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.

How do I get a job in AI with no experience?

To get a Junior Training AI Models role with no experience, focus on building foundational skills in programming (such as Python), understanding machine learning concepts, and gaining familiarity with AI frameworks like TensorFlow or PyTorch. Completing online courses, participating in open-source projects, and creating a portfolio of relevant work can help demonstrate your abilities to employers.
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:
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Junior Training Ai Models jobs near you
Sr. Staff Engineer, AI Models and Applications

Sr. Staff Engineer, AI Models and Applications

Advanced Micro Devices, Inc

San Jose, CA • On-site

$178K/yr

Full-time

Re-posted 24 days ago

Advanced Micro Devices rating

8.4

Company rating: 8.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

26th of 143 rated electronics manufacturers

Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
THE ROLE:
The AI Models and Applications team at AMD is looking for a specialized Sr. Staff or Principal level engineer who is passionate about enabling innovative and efficient Generative AI training/inferencing at scale. You will be part of a core team of incredibly talented specialists and work on scaling training and inference for the latest Generative AI models.
THE PERSON:
The ideal candidate has deep technical understanding of the latest generative AI applications like large language models (LLMs), large multimodal models (LMMs), image/video generation, has experience training models at scale and is passionate about innovating efficient approaches to enable distributed training and inference at scale on AMD devices.
Why Join Us?
  • Exciting Opportunities: As a Senior member on the team, you will be at the forefront of innovation, working with the latest Gen AI models and algorithms. You will have the opportunity to shape the future of AI model training and inference optimizations across a variety of applications.
  • Talented Team: Join a team of highly skilled industry specialists who are passionate about pushing the boundaries of AI. Collaborate with like-minded professionals and learn from the best in the field.
  • Cutting-edge Technology: Work with state-of-the-art GenAI algorithms and software enabling you to stay ahead of the curve and drive advancements in AI model training at Scale and deployment.
  • Impactful Work: Your contributions will directly influence how cutting-edge gen AI models across the industry are efficiently trained at scale as well as inferencing deployed to serve millions of customers, making a significant difference in various industries and applications.

KEY RESPONSIBILITIES:
  • Propose and apply innovative techniques to support both training and inferencing including innovative transformer architectures, parallelism strategies to train on large clusters, low-precision training.
  • Implement novel efficient architectures for Generative AI models for training and inference and showcase benefits on AMD
  • Work with open-source framework and community (e.g., PyTorch, JAX, Hugging Face) to integrate AMD optimized models, libraries and publish training recipes.
  • Collaborate with software and hardware team to E2E co-optimize performance on current and future AMD solutions.
  • Publish and promote your work within AMD and at external venues.

PREFERRED EXPERIENCE:
  • Strong technical expertise in Gen AI model training and inference, and familiarity working with deep learning frameworks like PyTorch/JAX.
  • Strong technical expertise in algorithmic innovation towards efficient Gen AI application for both training and inferencing.
  • Expertise/publications in one of the areas preferred - efficient model architectures, optimized training, innovative parallelism strategies or low-precision training.
  • Additional plus if publications include conferences such as NeuRIPS, CVPR, ECCV/ICCV, ICML, ICLR, etc.
  • Experience productizing generative AI models and training foundation model at Scale
  • Excellent written, verbal, and presentation skills, ability to coordinate internally and externally.
  • Several years of experience in AI, deep learning and related software development.

ACADEMIC CREDENTIALS:
PhD or master's degree or above; with major in CS, EE, Mathematics, or a related field.
LOCATION:
San Jose, CA (Hybrid).
Can also consider Seattle or Austin locations (Hybrid)
#LI-MV1
#LI-HYBRID
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
This posting is for an existing vacancy.

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