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Online Rlhf Jobs in Missouri (NOW HIRING)

Principal AI Engineer

California, MO · On-site

$175.80 - $293/hr

... online evaluators on production traffic, calibrated LLM‑as‑a‑judge graders, and A/B ... Experience with model customization (SFT, RLHF, DPO/GRPO), eval/observability platforms and ...

Online Rlhf information

What are some common challenges faced by online RLHF specialists when collaborating with cross-functional teams?

Online RLHF specialists often work closely with machine learning engineers, data annotators, and product managers. A common challenge is ensuring that feedback from human annotators is accurately integrated into model training, which requires clear communication and well-defined annotation guidelines. Additionally, balancing the pace of model updates with the need for high-quality human feedback can be demanding. Effective collaboration and regular syncs are essential to maintain alignment and achieve project goals.

What is the difference between Online Rlhf vs Online Rlhf?

AspectOnline RlhfOnline Rlhf
CredentialsTypically requires certification in online health coaching or related fieldsTypically requires certification in online health coaching or related fields
Work EnvironmentRemote, online platform-basedRemote, online platform-based
Industry UsageCommon in health and wellness sectorsCommon in health and wellness sectors
Job FocusProviding health guidance and support onlineProviding health guidance and support online

Online Rlhf and Online Rlhf are the same role, often used interchangeably. Both involve providing health and wellness support remotely, requiring similar certifications and working within the online health industry. The key difference is often in terminology rather than job function.

What is an online RLHF?

Online RLHF (Reinforcement Learning from Human Feedback) jobs typically involve helping to train AI models by providing human feedback on their outputs. Workers in these roles might review model responses, rate the quality of generated text, or suggest improvements to help the AI learn to produce better results. These jobs are often remote and can be done part-time or as contract work. They play a crucial role in improving the safety, usefulness, and accuracy of AI systems by aligning them more closely with human preferences.

What are the key skills and qualifications needed to thrive as an online RLHF specialist, and why are they important?

To thrive as an Online RLHF Specialist, you need a strong background in machine learning, reinforcement learning, and data analysis, typically supported by a degree in computer science or a related field. Familiarity with technical tools like Python, PyTorch or TensorFlow, and experience with human feedback systems or annotation platforms are highly valuable. Strong problem-solving, attention to detail, and the ability to communicate complex concepts clearly are crucial soft skills. These qualifications ensure the effective training and evaluation of AI models, leading to more accurate and reliable machine learning systems.
What are the most commonly searched types of Rlhf jobs in Missouri? The most popular types of Rlhf jobs in Missouri are:
What are popular job titles related to Online Rlhf jobs in Missouri? For Online Rlhf jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Online Rlhf jobs in Missouri look for? The top searched job categories for Online Rlhf jobs in Missouri are:

Principal AI Engineer

BMC Software, Inc.

California, MO • On-site

$175.80 - $293/hr

Other

Posted 4 days ago


Job description

Description and Requirements

BMC empowers nearly 80% of the Forbes Global 100 to accelerate business value, faster than humanly possible. Our industry-leading portfolio unlocks human and machine potential to drive business growth, innovation, and sustainable success. BMC does this in a simple and optimized way by connecting people, systems, and data that power the world’s largest organizations so they can seize a competitive advantage.

We're looking for a Principal AI Engineer to architect, build, and harden the agentic AI systems that power our products. This is a hands‑on, full‑stack AI role: you'll work across the entire AI stack from the foundation (model lifecycle, experimentation, infrastructure) through shared services (agent orchestration, RAG and grounding, gateways and routing) up to the agents and workflows that reach customers. You'll set the technical direction for how we design agents, prove what works through rigorous evaluation, and turn promising prototypes into reliable, observable, governed production systems.

Key Responsibilities
  • Own the architecture for agentic systems end to end – reasoning and planning, tool/function calling, multi‑agent coordination, routing, memory, and human‑in‑the‑loop handoffs and define reusable patterns and reference implementations.
  • Prototype new agentic capabilities quickly, then drive the ones that prove into production‑grade systems; write production‑quality code and set the engineering bar.
  • Build and integrate across the stack: RAG and knowledge services, model/tool routing, prompt and context management, orchestration runtimes, and inference serving. Evaluate and adopt emerging models, frameworks, and protocols.
  • Stand up the evaluation and experimentation strategy that gates what we ship, offline suites and golden datasets, regression tests in CI/CD, online evaluators on production traffic, calibrated LLM‑as‑a‑judge graders, and A/B experiments to ensure safe and reliable deployments of agents in production.
  • Define the metrics that matter (task success, grounded‑ness, cost, safety, etc.) and define and build the tracing and observability to measure them across multi‑turn interactions, closing the loop from error analysis to continuous improvement.
  • Set technical direction across teams, mentor engineers, and translate complex architectures into clear guidance for partners and customers.
Qualifications / Skillset
  • 8+ years of building and operating scalable, production‑grade software, with significant recent depth in AI/ML.
  • Proven experience designing, building, and shipping agentic AI systems (autonomous/multi‑step agentic workflows, multi‑agent frameworks, and Generative AI copilots) in production.
  • Hands‑on experience building evaluation and experimentation frameworks for LLM/agentic systems (offline + online evals, LLM‑as‑a‑judge, benchmarking, CI/CD gates, production monitoring).
  • Strong agentic engineering skills, with modern agent/LLM frameworks (e.g., LangGraph, Google ADK, or comparable).
  • Experience with RAG and retrieval (vector stores, grounding, citations) and familiarity with AgentOps/LLMOps and production monitoring.
  • Solid software engineering fundamentals with productization tooling: Git, Docker, Kubernetes, CI/CD, and cloud (AWS / Azure / GCP).
  • The judgment to operate in fast‑moving, ambiguous environments and the communication skills to lead without authority.
  • Experience with model customization (SFT, RLHF, DPO/GRPO), eval/observability platforms and bridging applied research and engineering is a nice to have.

Our Commitment to You!

BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU!

BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page.

BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process.

The annual base salary range represents the low and high end of the BMC salary range for this position. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs.

The range listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits.

At BMC, it is not typical for an individual to be hired at /near the top of the range. A reasonable estimate of the current range is $175,800 - $293,000

We use AI technology to support parts of our recruitment process, but people—not algorithms—make all final hiring decisions. AI may assist with tasks like scheduling, screening for role alignment, or helping us manage large volumes of applications more efficiently. However, candidates are reviewed by a member of our recruitment team, and interviews and hiring decisions are always made by people. We’re committed to ensuring that technology enhances fairness, efficiency, and the candidate experience—never replaces genuine human judgment.

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