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Abundant Jobs (NOW HIRING)

abundant

Head of Recruiting

San Francisco, CA · On-site

ABOUT ABUNDANT AI models rely on two fundamental ingredients: compute and data. Abundant is building the NVIDIA of training data. NVIDIA, the leader in compute, has a peak market cap of $5T and ...

abundant

Research Product Manager (RPM)

San Francisco, CA · On-site

$150K - $210K/yr

ABOUT ABUNDANT As the need for scaling data becomes the core bottleneck to progress, moving from general knowledge to domain expertise, and from chatbots to agents. Abundant is solving this by ...

Abundant Church

Cafe Barista

El Paso, TX · On-site

$12.75 - $14.50/hr

Abundant Staff Agreement - I will: * Keep people first - build, bless, help, and minister to the people God has entrusted to us * Build, support and live the culture and core values of Abundant ...

Abundant Church

Cafe Barista

El Paso, TX · On-site

$13.75 - $15.75/hr

Abundant Staff Agreement - I will: * Keep people first - build, bless, help, and minister to the people God has entrusted to us * Build, support and live the culture and core values of Abundant ...

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How much do abundant jobs pay per year?

As of Aug 28, 2026, the average yearly pay for abundant in the United States is $81,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $100,000.00 per year, depending on experience, location, and employer.

What is an abundant?

The term 'Abundant' is not a specific job title but rather describes jobs or industries where there are many employment opportunities available. Abundant jobs are typically in high demand and can be found in sectors experiencing growth, such as healthcare, technology, retail, and construction. These jobs often offer a variety of roles for candidates with different skill levels and backgrounds, making them accessible to a wide range of job seekers. Understanding which jobs are abundant can help individuals target their job search toward sectors with more openings and greater job security.

What are some common challenges faced by professionals working in abundance management roles?

Professionals in abundance management roles often face the challenge of balancing resource allocation to maximize efficiency while minimizing waste. They must stay adaptable to changing market trends and demands, requiring strong analytical and forecasting skills. Collaboration with cross-functional teams—including supply chain, finance, and operations—is key to ensuring that abundance strategies align with overall business objectives. Additionally, staying updated with the latest tools and technologies in resource management can help overcome these challenges and drive continuous improvement.

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

I'm sorry, but 'Abundant' is not a recognized real-world professional occupation, so I cannot provide a relevant answer.

What is the difference between Abundant vs Data Analyst?

AspectAbundantData Analyst
Required CredentialsTypically requires a degree in environmental science, ecology, or related fieldsUsually requires a degree in statistics, mathematics, or data science
Work EnvironmentFieldwork, environmental agencies, research institutionsOffice settings, data centers, consulting firms
Industry UsageEnvironmental conservation, sustainability projectsBusiness, finance, healthcare, marketing
Common Search/ComparisonAbundant vs Data Analyst

While both roles involve analyzing data, Abundant focuses on environmental data and sustainability efforts, often requiring environmental science credentials and fieldwork. Data Analysts typically work with business data, requiring skills in statistics and data management. Their work environments and industry applications differ, but both roles are essential for data-driven decision-making in their respective fields.

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Cities with the most Abundant job openings:

What states have the most Abundant jobs?

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Abundant jobs near you
Infographic showing various Abundant job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 53% Full Time, 37% Part Time, and 9% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $81,876 per year, or $39.4 per hour.

Head of Recruiting

San Francisco, CA • On-site

abundant
Business Schools and Computer and Management Training • 11 - 50 employees
Learn more about abundantexternal

Full-time

Posted 8 days ago

Job description

ABOUT ABUNDANT
AI models rely on two fundamental ingredients: compute and data. Abundant is building the NVIDIA of training data. NVIDIA, the leader in compute, has a peak market cap of $5T and generated $130B in revenue last year as the need for scaling compute has exploded. We believe the need to scale data is just beginning, as we move beyond SFT and human supervision to RL and Learning from Experience.
Our founding team consists of former founders, ML engineers, roboticists and data leads from Waymo, Google, Mercor and AWS. Our team has previously worked with DeepMind to deploy deep learning models at 1B user scale, trained SOTA models for self-driving at Waymo, and scaled data pipelines of tens of thousands of human annotators at YouTube. Our pioneering work in human computation, synthetic data, simulation and RL give us the advantage in delivering results to our customers.
Why now? Training data is more important and more scarce than ever before. Scaling laws dictate that linear improvement in model performance demands an exponential increase in training data. But there is only one World Wide Web and most of it has already been trained on. The next advances will require major advances in simulation, synthetic data and learning from experience.
What happens if we succeed? Abundant will be the core enabler for not only AGI, but ASI and physical intelligence. Most of the challenges in model algorithms and compute are already solved. What's missing? The data necessary to move from general knowledge to domain expertise; from chatbots to agents; and from text to multimodal and physical AI. Ask any AI researcher or roboticist: the core bottleneck to progress is the availability of data, hence "abundant data".
Abundant works with a majority of the top AI labs, as well as frontier startups and F500 enterprises.
THE ROLE
As the Head of Recruiting, you will define Abundant's recruiting strategy at all phases of the recruiting lifecycle. You'll be expected to identify bottlenecks, then build procedures and process to eliminate them. This role will combine many tasks that other companies split into individual roles. You'll be a sourcer, a coordinator, a university recruiter, a copywriter, and a strategist.
This is perhaps the most important role at Abundant today. The candidates you identify and close will establish our culture for years to come.
WHAT YOU'LL DO
  • Feed the top of the funnel: Build robust sourcing pipelines to ensure we meet our ambitious hiring targets.
  • Implement industry best practices: Write runbooks for how we should be conducting our on-site interviews, work trials, and debriefs. Then you'll "train the trainers" to ensure we can continue to scale our interview process.
  • Build candidate personas: Work closely with a founders to identify what makes Abundant engineers unique, then ensure our company's job postings and our public persona matches those values.
WHO YOU ARE
  • Experienced at all aspects of the recruiting lifecycle: You should be able to switch between sourcing, handling an on-site, and closing a candidate in the same day. We expect you to be the problem-solver rather than coordinating a team of contractors to handle different stages of the pipeline.
  • Strong leader: You will be responsible for building out the recruiting team as needs dictate. You should be an experienced individual contributor who is ready to make the jump into management.
  • AI fluent: you don't have to know what hill climbing is, but you need to be able to tell the difference between an "AI trainer", an "SPL", and a "Research Engineer". Strong candidates will have an in-depth understanding of how titles at different companies translate to real-world skillsets.

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