Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
Collect, preprocess, and analyze large datasets for training and validating AI models. * Ensure ... Familiarity with prompt engineering and fine-tuning Generative AI models. * Knowledge of MLOps ...
This is not a prompt-only role. We are looking for builders who think deeply about system behavior ... Partner with our modeling and post-training engineers to improve model behavior for tool use ...
This is not a prompt-only role. We are looking for builders who think deeply about system behavior ... Partner with our modeling and post-training engineers to improve model behavior for tool use ...
Sr. Applied AI Engineer (Claude/Codex)
Carmel, IN · On-site
$122K - $161K/yr
... fine-tuning, prompt engineering, and performance optimization (token utilization, latency ... Experience training, fine-tuning, and evaluating LLMs and multimodal foundation models using ...
Sr. Applied AI Engineer (Claude/Codex)
Carmel, IN · On-site
$122K - $161K/yr
... fine-tuning, prompt engineering, and performance optimization (token utilization, latency ... Experience training, fine-tuning, and evaluating LLMs and multimodal foundation models using ...
Senior Software Engineer Applied AI
Indianapolis, IN · On-site
$140 - $210/hr
Multi‑model pipelines, prompt design, and cost/latency budgeting * Evaluation harnesses ... End‑to‑end ML pipelines: feature engineering, model training, and scheduled inference
Senior Software Engineer Applied AI
Indianapolis, IN · On-site
$140 - $210/hr
Multi‑model pipelines, prompt design, and cost/latency budgeting * Evaluation harnesses ... End‑to‑end ML pipelines: feature engineering, model training, and scheduled inference
Our training programs and promotional opportunities ensure we all can continue to learn. We ... Design Retrieval-Augmented Generation (RAG) architectures, vector databases, prompt engineering ...
Our training programs and promotional opportunities ensure we all can continue to learn. We ... Design Retrieval-Augmented Generation (RAG) architectures, vector databases, prompt engineering ...
Senior Software Engineer Applied AI
Indianapolis, IN · Remote
$117K - $154K/yr
Multi-model pipelines, prompt design, and cost/latency budgeting * Evaluation harnesses, including ... End-to-end ML pipelines: feature engineering, model training, and scheduled inference * Imbalanced ...
Senior Software Engineer Applied AI
Indianapolis, IN · Remote
$117K - $154K/yr
Multi-model pipelines, prompt design, and cost/latency budgeting * Evaluation harnesses, including ... End-to-end ML pipelines: feature engineering, model training, and scheduled inference * Imbalanced ...
Leader, AI Hyperspecialist Solutions Engineer (Central US)
Indianapolis, IN · On-site
$235K - $301K/yr
Build technical training materials and certifications for the solutions engineering team and ... Strong understanding of AI/ML concepts - LLMs, embeddings, RAG, model APIs, prompt engineering
Leader, AI Hyperspecialist Solutions Engineer (Central US)
Indianapolis, IN · On-site
$235K - $301K/yr
Build technical training materials and certifications for the solutions engineering team and ... Strong understanding of AI/ML concepts - LLMs, embeddings, RAG, model APIs, prompt engineering
ERP AI Engineer - Manager
Indianapolis, IN · On-site
$99K - $232K/yr
These individuals analyse client needs, implement software solutions, and provide training and ... and prompt engineering - Building scalable, cloud-native microservices and containerized ...
ERP AI Engineer - Manager
Indianapolis, IN · On-site
$99K - $232K/yr
These individuals analyse client needs, implement software solutions, and provide training and ... and prompt engineering - Building scalable, cloud-native microservices and containerized ...
Ai Prompt Training information
What are some common challenges faced by professionals in AI prompt training and how can they be addressed?
Professionals in AI prompt training often encounter challenges such as maintaining prompt clarity, avoiding biased or ambiguous language, and continuously adapting to evolving AI models. It can be tricky to strike the right balance between specificity and flexibility in prompts to achieve reliable outputs. Collaboration with data scientists and AI developers is key to refining prompts and understanding model behavior. Regularly reviewing prompt outcomes, participating in team feedback sessions, and staying updated on best practices can help address these challenges and improve the quality of prompt training.
What is AI prompt training?
AI prompt training is the process of designing, refining, and testing prompts to guide artificial intelligence models, such as language models, to produce accurate, relevant, and useful outputs. This involves understanding how the AI interprets different instructions and iteratively improving prompts to achieve desired results. People working in AI prompt training often experiment with phrasing, context, and structure of prompts to optimize AI performance for various tasks, including content generation, summarization, or problem solving.
What is the difference between Ai Prompt Training vs Ai Content Writer?
| Aspect | Ai Prompt Training | Ai Content Writer |
|---|---|---|
| Required Credentials | Knowledge of AI models, training techniques, and prompt engineering | Writing skills, SEO knowledge, and content creation experience |
| Work Environment | Tech companies, AI labs, remote or office-based roles focused on AI model development | Marketing agencies, media companies, or freelance platforms creating written content |
| Employer & Industry Usage | Used by AI developers and tech firms to improve AI interactions | Used by content marketing and publishing industries to produce engaging articles |
While Ai Prompt Training involves developing and refining prompts to optimize AI responses, Ai Content Writers focus on creating high-quality written content for various platforms. Both roles require strong communication skills, but Ai Prompt Training emphasizes technical understanding of AI models, whereas Ai Content Writers prioritize writing and SEO expertise.
What are the key skills and qualifications needed to thrive as an AI prompt trainer, and why are they important?
To excel as an AI Prompt Trainer, you need a solid understanding of natural language processing, machine learning concepts, and strong analytical skills, often supported by a degree in computer science or a related field. Familiarity with AI platforms, prompt engineering tools, and annotation systems is typically required, as well as experience with programming languages like Python. Strong communication, creativity, and attention to detail are important soft skills for crafting effective prompts and collaborating with development teams. These skills ensure that AI models are trained efficiently, resulting in accurate and contextually relevant outputs that meet user needs.
What are popular job titles related to Ai Prompt Training jobs in Indiana? For Ai Prompt Training jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Prompt Training jobs in Indiana look for? The top searched job categories for Ai Prompt Training jobs in Indiana are:
What cities in Indiana are hiring for Ai Prompt Training jobs? Cities in Indiana with the most Ai Prompt Training 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:
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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:
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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:
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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:
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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:
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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:
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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.
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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?
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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