Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure data privacy and compliance with regulatory requirements during data handling. System Integration:
Software Engineer - AI Trainer
Fort Wayne, IN · On-site +1
$50 - $100/hr
Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state-of-the-art AI models to take on programming tasks that include creating and solving challenging ...
Software Engineer - AI Trainer
Fort Wayne, IN · On-site +1
$50 - $100/hr
Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state-of-the-art AI models to take on programming tasks that include creating and solving challenging ...
Medical Microbiology Consultant - Remote
Fishers, IN · Remote
$70 - $90/hr
... AI model accuracy. * Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data ...
Medical Microbiology Consultant - Remote
Fishers, IN · Remote
$70 - $90/hr
... AI model accuracy. * Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data ...
Medical Microbiology Consultant - Remote
South Bend, IN · Remote
$70 - $90/hr
... AI model accuracy. * Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data ...
Medical Microbiology Consultant - Remote
South Bend, IN · Remote
$70 - $90/hr
... AI model accuracy. * Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data ...
Medical Microbiology Consultant - Remote
Indianapolis, IN · Remote
$70 - $90/hr
... AI model accuracy. * Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data ...
Medical Microbiology Consultant - Remote
Indianapolis, IN · Remote
$70 - $90/hr
... AI model accuracy. * Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data ...
Medical Microbiology Consultant - Remote
Evansville, IN · Remote
$70 - $90/hr
... AI model accuracy. * Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data ...
Medical Microbiology Consultant - Remote
Evansville, IN · Remote
$70 - $90/hr
... AI model accuracy. * Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data ...
Medical Microbiology Consultant - Remote
Fort Wayne, IN · Remote
$70 - $90/hr
... AI model accuracy. * Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data ...
Medical Microbiology Consultant - Remote
Fort Wayne, IN · Remote
$70 - $90/hr
... AI model accuracy. * Document experimental findings and processes with a focus on clarity for AI training data. * Collaborate with interdisciplinary teams to ensure scientific rigor and data ...
M&A Attorney - AI Trainer - Remote
South Bend, IN · Remote
$90 - $130/hr
Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...
M&A Attorney - AI Trainer - Remote
South Bend, IN · Remote
$90 - $130/hr
Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...
M&A Attorney - AI Trainer - Remote
Indianapolis, IN · Remote
$90 - $130/hr
Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...
M&A Attorney - AI Trainer - Remote
Indianapolis, IN · Remote
$90 - $130/hr
Review and assess AI responses to contract scenarios, providing expert feedback to improve model ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...
Ai Model Trainer information
See Indiana salary details
$10.98 - $13.75
4% of jobs
$13.75 - $16.51
13% of jobs
$17.94 is the 25th percentile. Wages below this are outliers.
$16.51 - $19.28
16% of jobs
The median wage is $21.45 / hr.
$19.28 - $22.04
22% of jobs
$22.04 - $24.81
14% of jobs
$26.73 is the 75th percentile. Wages above this are outliers.
$24.81 - $27.57
9% of jobs
$27.57 - $30.34
8% of jobs
$30.34 - $33.10
6% of jobs
$33.10 - $35.87
4% of jobs
$35.87 - $38.64
2% of jobs
$38.64 - $41.40
1% of jobs
$10
$24
$41
How much do ai model trainer jobs pay per hour?
As of Sep 7, 2026, the average hourly pay for ai model trainer in Indiana is $24.46, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $28.37 per hour, depending on experience, location, and employer.
What does an AI model trainer do?
An AI Model Trainer is responsible for developing, training, and refining artificial intelligence models using large datasets. They preprocess data, select appropriate algorithms, monitor model performance, and tune parameters to improve accuracy and efficiency. Model trainers often collaborate with data scientists, engineers, and domain experts to ensure the AI meets specific requirements and delivers reliable results. Their work is essential for creating applications like image recognition, natural language processing, and predictive analytics.
What are some typical challenges faced by AI model trainers when working with large datasets?
AI Model Trainers frequently encounter challenges such as ensuring data quality, handling imbalanced datasets, and maintaining data privacy. Working with large datasets often requires careful preprocessing and cleaning to avoid biases and inaccuracies in the model. Additionally, trainers must collaborate closely with data engineers, domain experts, and software developers to validate data sources and to fine-tune models for optimal performance. Addressing these challenges is critical for producing reliable, high-performing AI systems.
What are the key skills and qualifications needed to thrive as an AI model trainer, and why are they important?
To thrive as an AI Model Trainer, you need strong expertise in machine learning, data analysis, and a background in computer science or a related field, often supported by an advanced degree. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with data labeling and annotation tools are essential. Attention to detail, critical thinking, and effective communication help in accurately training and refining AI models while collaborating with diverse teams. These skills ensure that AI systems are trained accurately and efficiently, leading to reliable and ethical AI solutions.
What is the difference between Ai Model Trainer vs Data Scientist?
| Aspect | Ai Model Trainer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in CS, ML, or related; experience with ML frameworks | Bachelor's or higher in CS, Statistics, or related; advanced analytics skills |
| Work Environment | Hands-on model training, data preprocessing, tuning | Data analysis, modeling, visualization, reporting |
| Employer & Industry Usage | Tech companies, AI startups, research labs | Tech, finance, healthcare, consulting firms |
| Search & Comparison Intent | Understanding roles in AI development | Analyzing data to inform decisions |
While both roles involve working with data and machine learning, an Ai Model Trainer primarily focuses on training and fine-tuning AI models, whereas a Data Scientist emphasizes analyzing data, building models, and deriving insights. The roles often overlap but serve different stages of AI and data projects.
What are popular job titles related to Ai Model Trainer jobs in Indiana?
For Ai Model Trainer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Model Trainer jobs in Indiana look for?
The top searched job categories for Ai Model Trainer jobs in Indiana are:
What cities in Indiana are hiring for Ai Model Trainer jobs?
Cities in Indiana with the most Ai Model Trainer job openings:
Full-time
Re-posted 17 days ago
Job description
About Us
Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.
Job Description
This is a remote position.
We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.
Key Responsibilities:
Generative AI Model Implementation:
-
Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.
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Integrate pre-trained models or build custom models for specific use cases.
Automation Design and Development:
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Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.
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Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.
Data Management:
-
Collect, preprocess, and analyze large datasets for training and validating AI models.
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Ensure data privacy and compliance with regulatory requirements during data handling.
System Integration:
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Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.
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Build and maintain pipelines for real-time AI inference and automation.
Monitoring and Optimization:
-
Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.
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Optimize models and processes based on performance metrics and user feedback.
Research and Innovation:
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Stay updated with the latest advancements in Generative AI and automation technologies.
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Identify opportunities for implementing cutting-edge AI solutions to address business challenges.
Documentation and Collaboration:
-
Document technical designs, workflows, and implementation strategies.
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Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.
Required Qualifications:
-
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
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Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.
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Proficiency in designing and deploying machine learning models, particularly in Generative AI.
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Experience with automation tools (e.g., RPA, workflow orchestration tools).
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Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).
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Solid understanding of data structures, algorithms, and software design principles.
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Strong analytical and problem-solving skills.
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Excellent communication and teamwork abilities.
Preferred Qualifications:
-
Experience with NLP, image generation, or multimodal AI models.
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Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.
-
Familiarity with prompt engineering and fine-tuning Generative AI models.
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Knowledge of MLOps practices for deploying and maintaining AI solutions.
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Previous experience in automation or workflow optimization projects.
Why Join Us?
-
Work with cutting-edge Generative AI technologies.
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Collaborate with a team of forward-thinking innovators.
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Make a tangible impact on the future of automation and AI-driven processes.
If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.
About EnthuZiastic
Sourced by ZipRecruiter
Industry
E-learning
Company size
11 - 50 Employees
Headquarters location
San Jose, CA, US
Year founded
2020