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Ai Training Jobs in Ridgewood, NJ (NOW HIRING)

Hera (YC S25)

Founding AI Engineer

Manhattan, NY · On-site

The Founding AI Engineer will build and optimize AI systems for generating high-quality animations, develop evaluation frameworks, and partner with motion designers to create training data.

ACI Infotech

AI/ML Azure Engineer

Manhattan, NY · On-site

Designing, implementing, and maintaining AI infrastructure supporting generative Ai and machine learning services, including data ingestion, training, evaluation, and deployment. * Develop and ...

AJAIA

Enterprise AI Trainer

Manhattan, NY · On-site

$30 - $300/hr

AI Strategy and Advisory, AI Engineering and Automation, Workforce Training and Enablement, and Custom Product Development. In addition to client services, Ajaia builds proprietary AI products ...

AJAIA

Enterprise AI Trainer

Manhattan, NY · On-site

$30 - $300/hr

AI Strategy and Advisory, AI Engineering and Automation, Workforce Training and Enablement, and Custom Product Development. In addition to client services, Ajaia builds proprietary AI products ...

AJAIA

Generative AI Trainer

Manhattan, NY · On-site

$30 - $300/hr

AI Strategy and Advisory, AI Engineering and Automation, Workforce Training and Enablement, and Custom Product Development. In addition to client services, Ajaia builds proprietary AI products ...

AJAIA

Generative AI Trainer

Manhattan, NY · On-site

$30 - $300/hr

AI Strategy and Advisory, AI Engineering and Automation, Workforce Training and Enablement, and Custom Product Development. In addition to client services, Ajaia builds proprietary AI products ...

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All JobsAi Training JobsAi Training Jobs in Ridgewood, NJ

Ai Training information

See Ridgewood, NJ salary details

$32.4K

$69.5K

$113.3K

How much do ai training jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai training in Ridgewood, NJ is $69,491.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,600.00 and $85,500.00 per year, depending on experience, location, and employer.

What is an AI training?

An AI Training job involves preparing and refining data to help improve artificial intelligence models. This can include labeling data, reviewing AI-generated outputs, and providing feedback to enhance accuracy. AI Trainers work with machine learning teams to fine-tune models for tasks like chatbots, image recognition, or language processing. Strong attention to detail and an understanding of AI behavior are key skills for this role.

Do AI trainers get paid?

AI trainers are typically paid professionals who develop and refine machine learning models, often earning salaries that vary based on experience, location, and employer. Compensation can range from entry-level wages to six-figure salaries for experienced specialists, and many AI trainers work in environments that require knowledge of programming, data annotation, and machine learning tools.

What does an AI training specialist do?

AI Training specialists are primarily responsible for curating, labeling, and managing large datasets that are used to train machine learning models. They often collaborate closely with data scientists and engineers to ensure data quality, clarity of labeling guidelines, and that project requirements are met. Daily tasks can include annotating images or text, performing data validation, refining annotation protocols, and reviewing outputs generated by AI models. This role frequently involves teamwork as well as independent problem-solving, offering opportunities to learn about AI development workflows and expand technical knowledge.

How to get into AI training jobs?

To pursue AI training jobs, candidates typically need a background in computer science, data science, or related fields, along with knowledge of machine learning frameworks like TensorFlow or PyTorch. Gaining experience through online courses, certifications, or internships can improve prospects, and strong programming skills in Python are often essential. Familiarity with data labeling, model evaluation, and AI development environments is also beneficial.

What are the key skills and qualifications needed to thrive in the AI training position?

To thrive in AI Training, you need a solid understanding of machine learning concepts, data annotation, and statistical analysis, often supported by a background in computer science or related fields. Familiarity with tools such as TensorFlow, PyTorch, labeling software, and experience with data management systems is highly valued. Strong attention to detail, effective communication, and critical thinking are important soft skills for this role. These skills ensure the accurate preparation and handling of training data, which directly impacts the quality and success of AI models.

How can I work as an AI trainer?

To work as an AI trainer, you typically need a background in computer science, data analysis, or machine learning, along with strong communication skills. The role involves labeling data, refining algorithms, and providing feedback to improve AI models, often using tools like Python or specialized annotation platforms. Relevant certifications or experience with neural networks and natural language processing can enhance your qualifications.

Are there any legit AI training jobs?

Yes, legitimate AI training jobs involve annotating data, labeling images or text, and helping improve machine learning models. These roles often require attention to detail, familiarity with AI tools, and sometimes specific certifications or training. Many companies offer remote or flexible positions for AI trainers, but job seekers should verify the company's credibility before applying.
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Ai Training jobs near you
Infographic showing various Ai Training job openings in Ridgewood, NJ as of August 2026, with employment types broken down into 69% Full Time, 20% Part Time, and 11% Contract. Highlights an 67% In-person, 7% Hybrid, and 26% Remote job distribution, with an average salary of $69,491 per year, or $33.4 per hour.

Medical Microbiology Consultant - Remote

micro1 AI

Paterson, NJ • Remote

$70 - $90/hr

Part-time

Posted 9 days ago

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

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