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Remote Rlhf Jobs in Fair Lawn, NJ (NOW HIRING)

Senior AI Engineer

New York, NY · Remote

$150K - $220K/yr

Senior AI Engineer Full-time Remote Exclusive confidential search -- details shared with qualified ... SFT, preference optimization (DPO, GRPO, RLHF/RLAIF), data curation, and synthetic data generation

Contract Compensation: $24-$35/hour Location: Remote Role Responsibilities * Red team ... Skills in jailbreak datasets , prompt injection , RLHF/DPO attacks , and model extraction

Remote Role Responsibilities * Red team conversational AI models and agents by performing ... Experience in Adversarial ML : jailbreak datasets, prompt injection, RLHF/DPO attacks, model ...

Contract Compensation: $17-$25/hour Location: Remote Role Responsibilities * Red team ... Experience in Adversarial ML : jailbreak datasets, prompt injection, RLHF/DPO attacks, model ...

Delivery Lead

New York, NY · Remote

$110K - $140K/yr

... and remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol ... Our work spans RLHF, evals, red-teaming, and custom multimodal data creation, all powered by Label ...

Modelling Resident (8-Month Contract)

New York, NY · On-site +1

$17.50 - $22.25/hr

Familiarity with model optimization techniques such as RLHF and fine-tuning * Strong communication and self-awareness - you know how to collaborate in a remote environment and you're open to feedback

Remote Rlhf information

How does a remote RLHF 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 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?

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.
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What job categories do people searching Remote Rlhf jobs in Fair Lawn, NJ look for? The top searched job categories for Remote Rlhf jobs in Fair Lawn, NJ are:
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Infographic showing various Remote Rlhf job openings in Fair Lawn, NJ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

AI Safety Practitioner - Expert Evaluator

Mercor

New York, NY • Remote

$60 - $70/hr

Full-time

Posted yesterday

New


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: AI Safety Practitioner
Type: Contract
Compensation: $60–$70/hour
Location: Remote

Role Responsibilities

  • Evaluate AI-generated responses for safety, factual accuracy, policy compliance, and overall quality.
  • Review content involving misinformation, political persuasion, self-harm, violence, cyber, biosecurity, and other sensitive domains.
  • Apply and refine evaluation rubrics for RLHF, SFT, and AI safety benchmarking.
  • Identify unsafe outputs, hallucinations, reasoning failures, and policy violations.
  • Provide structured feedback to improve model alignment and safety performance.
  • Collaborate with AI researchers and safety teams on ongoing evaluation initiatives.

Qualifications

Must-Have

  • Bachelor's degree or higher in Journalism, Communications, Psychology, Sociology, Public Policy, Law, Biology, Chemistry, Computer Science, or a related discipline.
  • 5+ years of professional experience in AI Safety, Trust & Safety, journalism, public policy, scientific research, security, or a related field.
  • Excellent written English, critical thinking, and analytical reasoning skills.
  • Ability to consistently evaluate nuanced and policy-sensitive scenarios.

Preferred

  • Experience with AI Safety, RLHF, SFT, Trust & Safety, or AI evaluation.
  • Familiarity with safety policies, content moderation, or evaluation rubric development.
  • Experience reviewing complex, high-risk, or ambiguous content.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.