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Remote Machine Learning Qa Jobs in Raleigh, NC (NOW HIRING)

HedgeServ

Investor Services Supervisor

Raleigh, NC · On-site +1

Our proprietary platform, enhanced by machine learning and robotic process automation, gives ... Establish effective working relationships with the NAV, QA, Compliance Departments within HedgeServ.

RTI International

Senior Biostatistician

Raleigh, NC · On-site +1

Familiarity with SAS, machine learning, and natural language processing is desirable but not ... Knowledge of Good Clinical Practice (GCP), quality assurance principles, and regulatory ...

RTI International

Senior Biostatistician

Raleigh, NC · On-site +1

Familiarity with SAS, machine learning, and natural language processing is desirable but not ... Knowledge of Good Clinical Practice (GCP), quality assurance principles, and regulatory ...

Berriehill Research

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

Operationalize machine learning workflows and support AI-enabled applications from development ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

Redhat

Software Quality Engineer

Raleigh, NC · On-site +1

$113K - $158K/yr

... assurance methodologies. * Must have one (1) year of experience with defect tracking and test ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

General Motors

Senior AI/ML Engineer

Raleigh, NC · On-site +1

$101K - $139K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... machine learning , or data‑centric AI projects -- especially where labeled data, data quality, or ...

Sennos

Data Engineer

Durham, NC · On-site +1

$110K - $132K/yr

... quality enforcement, and scalable platform development. Responsibilities * Build and maintain ETL ... Create and optimize datasets and views to support analytics, reporting, machine learning, and ...

Deloitte

AI and Data Science Engineer III

Raleigh, NC · On-site +1

$111K - $133K/yr

... machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and backfills * Implement privacy, access, quality, lineage, monitoring ...

LexisNexis(LNLP)

Senior Data Scientist III

Raleigh, NC · On-site +1

$115K - $192K/yr

And are you eager to work on the quality of data sources serving our end-user products? About our ... You will lead AI and machine learning model development. You'll analyze extensive datasets and ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site +1

$115K - $192K/yr

And are you eager to work on the quality of data sources serving our end-user products? About our ... You will lead AI and machine learning model development. You'll analyze extensive datasets and ...

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Remote Machine Learning Qa information

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$85.5K

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How much do remote machine learning qa jobs pay per year?

As of Jun 23, 2026, the average yearly pay for remote machine learning qa in Raleigh, NC is $123,781.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,400.00 and $125,400.00 per year, depending on experience, location, and employer.
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Remote Machine Learning Qa jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Durham, NC • Remote

Other

This job post has expired today. Applications are no longer accepted.

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.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • 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.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • 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.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • 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.

Apply