... 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 ...
... 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 ...
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Merced, CA · Remote
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As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...
iOS Engineer -Remote
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Business Operations and AI Implementation
Modesto, CA · Remote
$56K - $83K/yr
Write clear, implementation-ready specifications our engineering team can build against ... remote-first environment. As an early member of the team, you'll help shape both our product and ...
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Business Operations and AI Implementation
Modesto, CA · Remote
$56K - $83K/yr
Write clear, implementation-ready specifications our engineering team can build against ... remote-first environment. As an early member of the team, you'll help shape both our product and ...
You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...
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AI Solutions Architect
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You'll also work directly with our product and engineering teams, represent the customer's point of ... remote-first environment. As an early member of the Forward Deployed team, you'll help shape both ...
Quick apply
AI Solutions Architect
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Remote Ai Developer information
See Turlock, CA salary details
$42.1K - $53.4K
1% of jobs
$53.4K - $64.7K
4% of jobs
$64.7K - $76K
2% of jobs
$76K - $87.4K
4% of jobs
$87.4K - $98.7K
5% of jobs
$109.3K is the 25th percentile. Wages below this are outliers.
$98.7K - $110K
9% of jobs
$110K - $121.3K
9% of jobs
$121.3K - $132.7K
10% of jobs
The median wage is $141.2K / yr.
$132.7K - $144K
9% of jobs
$144K - $155.3K
6% of jobs
$159.8K is the 75th percentile. Wages above this are outliers.
$155.3K - $166.6K
41% of jobs
$42.1K
$136K
$166.6K
How much do remote ai developer jobs pay per year?
What is the difference between Remote Ai Developer vs Data Scientist?
| Aspect | Remote Ai Developer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's in CS, AI, or related field; experience with AI frameworks | Bachelor's or higher in CS, Statistics, or related; strong analytical skills |
| Work Environment | Tech companies, startups, remote teams focused on AI projects | Research firms, tech companies, analytics teams, often remote or on-site |
| Industry Usage | AI product development, machine learning applications | Data analysis, predictive modeling, business insights |
| Common Search/Comparison | Yes | Yes |
Remote AI Developers focus on building and implementing AI models and algorithms, often working on software development projects. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles require programming skills and knowledge of machine learning, AI Developers are more involved in creating AI solutions, whereas Data Scientists focus on data analysis and interpretation.
What are some common challenges remote AI developers face when collaborating with distributed teams, and how can they address them?
What are the key skills and qualifications needed to thrive as a remote AI developer?
What is a remote AI developer?
Full-time
Re-posted 15 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