AI Strategy Consultant, Frontier Tech
Scale AI
AI Strategy Consultant, Frontier Tech at Scale AI is a full time role based in San Francisco, CA, United States. It was published on 13 September 2024 and was open at last check.
| Role | AI Strategy Consultant, Frontier Tech |
|---|---|
| Company | Scale AI |
| Location | San Francisco, CA, United States |
| Employment type | Full Time |
| Published | 13 September 2024 |
| Status | Open at last check |
As a member of our Frontier Tech Consultant team, you will play a critical role in advancing cutting-edge AI innovations by conducting high-impact experiments and ensuring seamless execution at the highest quality standards. Your work will directly contribute to Scale AI’s growth, shaping the future of artificial intelligence.
In this role, you will be working on various types of projects, including but not limited to: research experiments, dataset generation, data quality improvements, and in-depth technical analysis. You will tackle complex, technical and operational challenges while collaborating closely with Scale’s ML research scientists and SPM team.
The ideal candidate is analytical, detail-oriented, and results-driven, with strong problem-solving abilities and excellent communication skills. We are looking for someone who thrives in a fast-paced environment, is proactive in overcoming challenges, and is committed to delivering exceptional outcomes. If you are eager to contribute to the forefront of AI innovation, we encourage you to apply.
You will be responsible for:
- Design and execute research experiments
- Build and evaluate frontier LLM datasets
- Develop training and testing material for frontier pipelines
- Improve quality of existing and new products
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 Python, GPU, AWS, API, LLM, ML, and 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, including CPT/OPT or employ corp-to-corp.
#LI-Onsite
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, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. 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 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 accommodations@scale.com. 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.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Create your free OnJob profile to apply — we'll take you to Scale AI's application after sign-up. · Posted 13 Sept 2024.
AI Strategy Consultant, Frontier Tech at Scale AI — questions answered
What does the AI Strategy Consultant, Frontier Tech role at Scale AI pay?
Scale AI does not publish a salary on this AI Strategy Consultant, Frontier Tech listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.
Where is the AI Strategy Consultant, Frontier Tech role at Scale AI based?
Scale AI lists this AI Strategy Consultant, Frontier Tech role in San Francisco, CA, United States, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with Scale AI before you apply.
Is the AI Strategy Consultant, Frontier Tech role at Scale AI still open?
The AI Strategy Consultant, Frontier Tech posting at Scale AI was open at OnJob's last check of the employer's careers page, having been published on 13 September 2024. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
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