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Remote Rlhf Jobs in Chicago, IL (NOW HIRING)

Senior ML Engineer

Chicago, IL ยท On-site +1

$107K - $147K/yr

Familiarity with RLHF or preference training is a bonus ๐Ÿ“ Location This is a remote-first role. We are currently hiring in the following locations: ๐Ÿ“ United States: Greater Los Angeles Area ...

Remote Rlhf information

How does a Remote RLHF (Reinforcement Learning from Human Feedback) specialist typically collaborate with other team members?

A Remote RLHF specialist often works closely with data scientists, machine learning engineers, and product managers to design and refine AI models using human feedback. Collaboration usually happens through regular virtual meetings, cloud-based code repositories, and shared annotation tools. The role requires clear communication to ensure that human feedback is accurately integrated into the learning process and that model improvements align with project goals. Being proactive in sharing findings and challenges is key, as team members may be distributed across different time zones.

What is the difference between Remote Rlhf vs Remote Rlhf?

AspectRemote RlhfRemote Rlhf
CredentialsTypically requires certification in mental health or counseling, such as LPC or LCSWSimilar credentials, often with additional training in specific therapy methods
Work EnvironmentRemote, client-facing sessions via telehealth platformsRemote, providing therapy or support services online
Industry UsageCommon in mental health, therapy, and counseling sectorsUsed in mental health and support services, often interchangeably with Rlhf

Remote Rlhf and Remote Rlhf are similar roles in mental health support, primarily differing in specific certifications or training focus. Both roles involve providing remote therapy or support services via telehealth platforms, making them highly comparable in work environment and industry usage.

What are the key skills and qualifications needed to thrive as a Remote RLHF (Reinforcement Learning from Human Feedback) Engineer, and why are they important?

To succeed as a Remote RLHF Engineer, you need expertise in machine learning, reinforcement learning, and programming languages like Python, often supported by an advanced degree in computer science or related fields. Familiarity with ML frameworks (such as TensorFlow or PyTorch), version control systems, and cloud computing platforms is typically required. Strong problem-solving, communication, and self-management skills are vital for remote collaboration and interpreting human feedback effectively. These skills enable the development of robust AI systems that can learn efficiently from human input while ensuring productive teamwork in a distributed environment.

What is a Remote RLHF job?

A Remote RLHF (Reinforcement Learning from Human Feedback) job involves working with artificial intelligence systems, particularly large language models, to improve their performance using feedback from humans. In this role, individuals may annotate data, provide quality evaluations, or help design feedback mechanisms while working from a remote location. These jobs are crucial for ensuring AI models align better with human values and expectations, and they are often offered by AI research companies or organizations focused on machine learning. The work can involve tasks such as ranking AI-generated responses, identifying errors, and suggesting improvements. Remote RLHF positions are popular due to their flexibility and the opportunity to contribute to cutting-edge AI technology.
What are the most commonly searched types of Rlhf jobs in Chicago, IL? The most popular types of Rlhf jobs in Chicago, IL are:
What job categories do people searching Remote Rlhf jobs in Chicago, IL look for? The top searched job categories for Remote Rlhf jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Rlhf jobs? Cities near Chicago, IL with the most Remote Rlhf job openings:
Senior ML Engineer

Senior ML Engineer

Invoca

Chicago, IL โ€ข On-site, Remote

$107K - $147K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

Senior ML Engineer

About Invoca

Invoca is an AI-powered revenue execution platform that brings together marketing, commerce, and contact center teams to turn every customer interaction into measurable, profitable growth. Join our dynamic, fast-growing team, where innovation and collaboration are at the core of our culture.

About the Team

The Data Platform team owns the full ML lifecycle at Invoca, from model training and fine-tuning through inference optimization and production APIs. We move quickly, swarm on hard problems, and care deeply about code quality, reliability, and each other's growth. Learn more on our blog or check out our open source projects.

About the Role

We're hiring a Senior ML Engineer to own the productionization layer of Invoca's ML stack โ€” model serving, inference optimization, fine-tuning, and the APIs and pipelines that tie it all together. You'll be a primary driver of the infrastructure powering our Context Engine and agentic AI workflows, working closely with Data Scientists, Data Engineers, and Applied AI Engineers.

Core Focus & Primary Ownership

  • Lead End-to-End MLOps and Productionization: Architect, implement, and maintain CI/CD pipelines for ML artifacts โ€” including model evaluation, versioning, and automated deployment. Serve as the primary SME for operational excellence across the Invoca ML stack.
  • Design and Optimize SLM/LLM Deployment: Own the full inference infrastructure: model serving on Triton Inference Server, Baseten, and Kubernetes-based GPU infrastructure. Profile and tune for low latency and high throughput, and build robust, scalable APIs for internal and external model access.

Broader Contributions

  • Fine-Tune Language Models: Apply parameter-efficient fine-tuning methods (LoRA, QLoRA, PEFT) to adapt transformer-based SLMs and LLMs for high-impact NLP applications in conversation intelligence.
  • Evolve ML Infrastructure: Contribute to model training infrastructure, data pipelines, and data lake foundations to keep the systems powering our models reliable and scalable.
  • Collaborate Across Teams: Partner closely with Data Scientists, Data Engineers, and Applied AI Engineers to build the foundational ML systems behind Invoca's agentic AI products.
  • Deliver Customer Value: Work with product and engineering to understand customer needs and ship ML solutions that make a measurable difference.

What You Bring

  • 5+ years of ML Engineering experience with a strong production focus
  • Advanced Python and deep learning proficiency (PyTorch, HuggingFace Transformers, spaCy)
  • Demonstrated track record deploying and maintaining transformer-based NLP models in production
  • Hands-on experience fine-tuning SLMs/LLMs (LoRA, QLoRA, PEFT) and optimizing models via quantization, batching, and throughput tuning
  • Proficiency with inference infrastructure: Triton, Baseten, vLLM, TGI, SageMaker, Vertex AI, or similar
  • Experience building production-grade APIs that expose ML models to downstream consumers
  • Familiarity with MLOps tooling, model monitoring, and eval platforms (Braintrust, MLflow, or equivalent)
  • B.S. in Computer Science, Engineering, Statistics, or equivalent; advanced degree a plus
  • Familiarity with RLHF or preference training is a bonus

๐Ÿ“ Location This is a remote-first role. We are currently hiring in the following locations: ๐Ÿ“

United States: Greater Los Angeles Area (including Santa Barbara and San Diego) ยท SF Bay Area ยท Denver Metro ยท Austin Metro ยท Chicago Metro ยท Greater NYC Area

Canada: Toronto (AI/ML technical roles only)

Candidates must be based within ~2 hour drive of these areas. Occasional business travel may be required.

Please note that we are unable to provide initial visa sponsorship for this position.

Salary, Benefits & Perks:

At Invoca, all new hires in the U.S. receive benefits starting on day one of employment. Our benefits offerings include:

Please note that benefits for teammates outside the U.S. may vary in accordance with their country's laws and regulations.

  • Flexible Time Off โ€“ We encourage a healthy work-life balance. Our flexible paid time off policy allows you to recharge and take time away as needed.
  • Paid Holidays โ€“ Invoca provides 16 U.S. paid holidays, including a winter break, giving you ample opportunity to refresh and spend time with friends and family.
  • Health Benefits โ€“ Our healthcare program includes medical, dental, and vision coverage, with multiple plan options so you can choose what works best for you and your family. Fertility assistance is also included.
  • Retirement โ€“ Invoca offers a 401(k) plan through Fidelity with a company match of up to 4%.
  • Stock Options โ€“ All employees are invited to share in Invoca's success through stock options.
  • Mental Health Programโ€“ Well-being support on a broad range of issues is available through our SpringHealth program.
  • Paid Family Leave โ€“ Up to 6 weeks of 100% paid leave is provided for baby bonding, adoption, and caring for family members.
  • Paid Medical Leave โ€“ Up to 12 weeks of 100% paid leave is provided for childbirth and medical needs.
  • InVacation โ€“ As a thank-you to our long-term team members, we offer a bonus after 7 years of service.
  • Wellness Subsidy โ€“ We provide a subsidy that can be applied toward gym memberships, fitness classes, and more.
  • Position Base Range - Salary Range $152,000 - $228,000 USD plus bonus + equity

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