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Commission Rlhf Jobs (NOW HIRING)

SuperAnnotate AI

Global Account Director

San Francisco, CA · On-site

$350K - $450K/yr

Previous experience selling into AI/ML, data labeling, data annotation, RLHF, or related human-data ... variable commission. Only shortlisted candidates will be contacted for an interview! Equal ...

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Commission Rlhf information

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$50K

$78.6K

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How much do commission rlhf jobs pay per year?

As of Jul 3, 2026, the average yearly pay for commission rlhf in the United States is $78,587.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $78,000.00 per year, depending on experience, location, and employer.

What are Commission RLHF jobs?

Commission RLHF jobs typically involve working on Reinforcement Learning from Human Feedback (RLHF) projects in a commission-based role. RLHF is an approach in artificial intelligence where models are trained using feedback from humans to improve their performance and alignment with human values. People in these jobs might collect and analyze human feedback, design reward models, or fine-tune AI systems. The commission aspect usually means pay is based on deliverables or performance rather than a fixed salary. These roles require strong analytical and communication skills, as well as some familiarity with machine learning concepts.

What are the key skills and qualifications needed to thrive as a Commission RLHF Specialist, and why are they important?

To thrive as a Commission RLHF (Reinforcement Learning from Human Feedback) Specialist, you need a strong background in machine learning, data analysis, and computer science, often supported by an advanced degree in a related field. Familiarity with frameworks like PyTorch or TensorFlow, experience in NLP models, and understanding of annotation tools are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret human feedback and collaborate with cross-functional teams. These skills are essential for developing and refining AI systems that accurately learn from and adapt to human input.

What is the difference between Commission Rlhf vs Real Estate Agent?

AspectCommission RlhfReal Estate Agent
CredentialsReal estate license, RLIHF certificationReal estate license
Work EnvironmentReal estate agencies, brokerage firmsReal estate agencies, brokerage firms
Industry UsageReal estate transactions, property salesProperty sales, leasing, market analysis
Search/Comparison IntentUnderstanding roles, certifications, and dutiesCareer info, licensing, job responsibilities

Commission Rlhf professionals focus on real estate transactions with specific certifications, while real estate agents perform similar duties but may not hold the RLIHF credential. Both work in real estate agencies and assist clients in buying, selling, or leasing properties. The main difference lies in the certification and possibly scope of practice, making it important for clients and job seekers to understand these distinctions.

How do Commission RLHF professionals typically collaborate with cross-functional teams to implement reinforcement learning from human feedback in production environments?

Commission RLHF professionals frequently work alongside data scientists, machine learning engineers, and product managers to integrate reinforcement learning from human feedback (RLHF) into real-world applications. Collaboration often involves aligning on data collection strategies, interpreting human feedback, and iterating on model performance. Effective communication and coordination are crucial, as RLHF requires a blend of technical expertise and an understanding of user intent. Regular team meetings and joint problem-solving sessions help ensure that the RLHF models meet both technical and business objectives.
More about Commission Rlhf jobs
What cities are hiring for Commission Rlhf jobs? Cities with the most Commission Rlhf job openings:
What are the most commonly searched types of Rlhf jobs? The most popular types of Rlhf jobs are:
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What job categories do people searching Commission Rlhf jobs look for? The top searched job categories for Commission Rlhf jobs are:
Commission Rlhf jobs near you
Infographic showing various Commission Rlhf job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 90% Full Time, and 9% Part Time. Highlights an 62% Physical, 1% Hybrid, and 37% Remote job distribution, with an average salary of $78,587 per year, or $37.8 per hour.
Global Account Director

Global Account Director

SuperAnnotate AI

San Francisco, CA

Full-time

Posted 8 days ago

Be an early applicant

Job description

About SuperAnnotate

SuperAnnotate helps the world’s leading AI teams build responsible, next-generation models powered by high-quality human data. We’re a fast-growing Series B startup bridging the gap between advanced AI innovation and the data that drives it. Our global network of expert specialists, scalable managed operations, precise talent matching, and full project transparency ensure unmatched data quality at scale. Trusted by innovators like Databricks and ServiceNow - and backed by NVIDIA, Dell Technologies Capital, Databricks Ventures, Cox Enterprises, and Lionel Messi’s Play Time VC - SuperAnnotate is proud to be the top-ranked AI data company on G2 for multiple consecutive years, including 2025.

The Impact You'll Make
 
We are looking for an experienced, driven and enthusiastic Global Account Director who can guide our prospects and customers through their buying journey with SuperAnnotate. You will be working directly with the sales management and founding team daily, and be expected to have a critical impact on the organization and on its revenue.
 
It will be critical for this candidate to be someone who has an entrepreneurial mindset, thinks strategically, wants to build as much as sell, can prospect as well as close deals, and is willing to get his/her hands dirty.
 
This is a full-time, hybrid position based in San Francisco.
What You'll Do

  • Develop pipeline using demand generation, prospecting tools, professional networking, and enterprise selling methodology

  • Build account plans and manage a territory of target enterprises training and deploying frontier AI models

  • Explore & identify new opportunities in new accounts and expansion of existing accounts, including new use cases, data types, and modalities within current customers

  • Research and present business intelligence about customers' and prospects' model development roadmaps, data needs, and where human data services fit into their pipeline

  • Scope and shape services engagements, including specialized labeling workforces, data pipelines, and project structures aligned to customer model needs

  • Help develop and continuously improve our prospecting and selling motions

  • Own deals from prospect to close, and maintain relationship with delivery/customer success through renewals and expansions

What You'll Bring

  • 5+ years of experience selling and generating demand for enterprise services, with strong preference for candidates who have sold data services, managed services, or professional services into AI/ML buyers

  • Experience and relationships selling to executives and teams training frontier AI models at organizations such as Google, Microsoft, OpenAI, Anthropic, Apple, Meta, etc.

  • Previous experience selling into AI/ML, data labeling, data annotation, RLHF, or related human-data services required

  • Comfort selling complex, high-touch services deals where pricing, scope, and delivery model are negotiated and customized per account, rather than a standard licensing motion

  • High business acumen and ability to sell technology and business value to all levels of an organization including individual contributors, mid-level management, and C-level executives

  • Experience with MEDDICC and enterprise selling methodologies such as Command of the Message

  • Consistent track record of exceeding quota

  • Strong ability to succeed in multi-channel pipeline generation including inbound discovery calls, outbound prospecting, working with SDRs and working with partners

  • Comfortable with ambiguity, creative, and incredibly resourceful

  • Self-starter and independent worker, ambitious and takes initiative

  • An attentive listener, quick study, and skilled influencer

  • Strong customer presence, with polish and dedication to customer outcomes

  • Ability to travel occasionally to meet customers and attend industry events

What We Offer

  • Attractive base salary with significant stock options offering an ownership stake in the company's success

  • Comprehensive health, dental, and vision insurance plans

  • 401(k) retirement plan

  • Flexible paid time off, holidays, and parental leave policies

  • Opportunity to shape the future of a cutting-edge technology company

  • Access to ongoing training and professional development opportunities

  • Referral Program

Compensation range is total on-target earnings (OTE), which includes base salary and variable commission.
Only shortlisted candidates will be contacted for an interview!

Equal Opportunity

We are an equal-opportunity employer and value diversity at our company. At SuperAnnotate diversity means to us making an effort to reflect the many experiences and identities of the outside world, and treating each other with fairness and without bias. Every day we foster an environment where people of all backgrounds not only belong, but excel to succeed as a company and grow together. We offer equal opportunity regardless of sex, sexual orientation, national origin, color, race, age, marital status, disability, gender identity, veterans and more.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.