As a member of our Frontier Tech Consultant team, you will be accountable for driving future revenue by ensuring that Scale AI successfully executes new product experiments in a timely manner while maintaining the highest quality standards. You will manage and help on our experiment design and our supply operation funnel by building and running solutions, tools, and processes working with the SPM team and a cross-functional team including EPD, Customer Operations, Product Operations, Product Managers, and many others.
You will be solving complex operational problems and deep diving to improve instructions and training on projects to maintain the highest quality standards. You may also be leading a team of tasker managers and acting as a liaison between customer needs and tasker communication and experience. The ideal candidate is scrappy, analytical, detail-oriented, empathetic, outcome-focused, a strong writer, and above all someone who drives and inspires results.
You will be responsible for:
- Design new product experiments
- Build ground truth datasets to train LLMs
- Help develop training and testing material for small scale pipelines
- Think critically around the definition of quality for new products
- Build and drive critical operational processes for various Gen AI experimental projects
- Create an effective feedback loop between the front line, product, strategy, and customers
Ideally you’d have:
- Strong machine learning knowledge, either by being in the final years of a ML PhD career or having already graduated
- Strong writing and verbal communication skills
- An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results
- Analytical, planning, and process improvement capability
- Experience working in a fast-paced, entrepreneurial environment
- Technical skills including familiarity with APIs, large language models, machine learning, and querying languages like SQL
Pay: $60-80/hr
Commitment: This is a fully remote, US-based part-time (10-20 hours per week), on-going contract position staffed via HireArt.
HireArt values diversity and is an Equal Opportunity Employer. We are interested in every qualified candidate who is eligible to work in the United States. Unfortunately, we are not able to sponsor visas or employ corp-to-corp.
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PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
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What We Do
Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.