Full-Time
Updated on 2/14/2025
AI platform for data and models
$160k - $185kAnnually
Mid, Senior
San Francisco, CA, USA + 1 more
More locations: New York, NY, USA
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Scale AI provides a platform that helps businesses develop AI applications by utilizing their enterprise data to customize generative models. The platform includes tools for collecting, curating, and annotating data, as well as features for evaluating and optimizing models. Scale works with a variety of clients, including major technology firms like Microsoft and Meta, government agencies such as the U.S. Army and Airforce, and startups like Brex and OpenSea. What sets Scale apart from its competitors is its comprehensive suite of tools and services that focus on safely unlocking the value of AI. The company's goal is to enhance the performance of advanced language models and generative models, making AI more accessible and effective for its clients.
Company Size
1,001-5,000
Company Stage
Series F
Total Funding
$1.6B
Headquarters
San Francisco, California
Founded
2016
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Health, Dental & Vision Coverage - Our health plans give you the flexibility to select the right coverage for you and eligible family members through a variety of plan options.
Easy to use 401(K) - Plan and invest for the future with a 401(k) via Guideline. Scale’s 401(k) plan provides you an opportunity to defer compensation for your long-term savings.
Wellness Fund - We care about the physical, mental, and emotional wellbeing of all Scaliens. Our $100/month wellness stipend can be used for gym memberships, acupuncture, meditation apps, and so much more.
Virtual Social Activities - Being remote has not stopped us from hosting fun virtual events. From trivia night to candle making, we ensure employees are fostering connections & building strong relationships.
Learning & Development - We know how important career growth is for Scaliens, so we offer a $500/year L&D stipend to help support continued development throughout your journey.
Flexible hours allow you to work when you are most productive. You can work with your manager to best plan your daily work schedule.
Generous Paid Time Off - Enjoy time to travel or plan a staycation. We encourage employees to take time off to recharge and prevent burnout. We have a flexible PTO policy where each employee is afforded the flexibility to take planned time-off as needed.
Commuter Benefits - Set aside pre-tax dollars to use on qualified transportation expenses to help ease your commute.
Parental Leave - Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.
BIBLIOnomics, the Halifax startup that helps clients develop relationships with gifts of books, is one of the first companies in the country to land $35,000 in funding from the federal Scale AI program. The boost from the federal government’s program that supports artificial intelligence...
SAN FRANCISCO, Jan. 23, 2025 /PRNewswire/ -- The Center for AI Safety (CAIS) and Scale AI today announced the results of a groundbreaking new AI benchmark that was designed to test the limits of AI knowledge and whether the models are capable of chain-of-thought reasoning. The results demonstrated a significant improvement from the reasoning capabilities of earlier models, but current models still were only able to answer fewer than 10 percent of the expert questions correctly. The new benchmark, called "Humanity's Last Exam," evaluated whether AI systems have achieved world-class expert-level reasoning and knowledge capabilities across a wide range of fields, including math, humanities, and the natural sciences. Throughout the fall, CAIS and Scale AI crowdsourced questions from experts to assemble the hardest and broadest problems to stump the AI models. The exam was developed to address the challenge of "benchmark saturation": models that regularly achieve near-perfect scores on existing tests, but may not be able to answer questions outside of those tests
Scale AI, valued at $13.8 billion, faces growing legal scrutiny over its labor practices.
Scale AI, a unicorn tech startup worth $13.8 billion, accused of widespread wage theft.
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Swift Ventures has unveiled a new artificial intelligence company index today, creating the first systematic scoring system to identify public companies making genuine investments in AI technology rather than just talking about it in earnings calls.The venture capital firm developed the index by fine-tuning large language models to analyze thousands of earnings transcripts, hiring data, and research contributions. The analysis revealed that while companies mentioned AI over 16,000 times in last quarter’s earnings calls, only a small fraction are making substantial investments in the technology.“Everyone sees that the world’s changing — AI is changing the world, but most people, they just don’t have a way to partake in the upside,” said Brett Wilson, cofounder of Swift Ventures, in an exclusive interview with VentureBeat. “They can’t invest in private companies like I do as a VC, and it’s just not easy to find true AI companies beyond just buying Nvidia or the Magnificent Seven.”How top AI companies are crushing market returns: New performance dataThe index currently tracks approximately 90 companies and uses three primary metrics: investment in AI research and open-source contributions, AI talent density, and revenue derived from AI operations.Companies that meet the criteria for inclusion in the index have demonstrated remarkable market performance, with the index showing 37% annual growth over the past three years, substantially outperforming both the Nasdaq’s 12% and the SP’s 19% growth during the same period.Perhaps most striking is the correlation between research investment and profitability. Wilson noted, “When we looked at companies that are regularly contributing to AI research and open-source models, you see it reflected in their profitability
Casual observers could be forgiven for wondering where this company had come from, as there had been little in the way of the usual fanfare that surrounds most startups' journey to IPO — no roadshows; no horn tootin'; no confetti-laden ceremonies; nothing, not a peep. That's because Nebius is an unusual beast: a public company, but a startup in just about every sense of the word. The core Nebius business sells GPUs (graphical processing units) "as-a-service" to companies needing "compute" — that is, processing power and resources to carry out computational tasks such as running algorithms and executing machine learning models. Last month, the company debuted a holistic cloud computing platform designed for the "full machine learning lifecycle," spanning data processing, training, fine-tuning, and inference. With the restructuring complete, and Volozh free to run the show from the company's new HQ in the Netherlands, Nasdaq green-lighted Nebius to recommence trading last month. The situation was pretty much unprecedented, though: a public company whose trading was put on pause, only to resume nearly three years later under a new name and entirely different business proposition? In many ways, it would've made sense to have delisted and grown with private capital, the good old-fashioned startup way
Scale AI launches new LLM for defense applications.
Scale AI, which focuses on processing the huge amounts of knowledge on which the LLMs are trained, has partnered with the Center for AI Safety (CAIS) to launch the Humanity's Last Exam initiative.
Apple has signed onto the Biden administration’s voluntary commitments regarding the safe development of artificial intelligence (AI), joining 15 other companies that have done so since last year.“Today, the administration announced that Apple has signed onto the voluntary commitments, further cementing these commitments as cornerstones of responsible AI innovation,” the White House said in a Friday (July 26) fact sheet.The White House first announced these voluntary commitments in July 2023, saying they aim to help move toward safe, secure and transparent development of AI technology.At that time, seven companies signed on: Amazon, Anthropic, Google, Inflection, Meta, Microsoft and OpenAI.The commitments include a range of measures designed to better understand the risks and ethical implications of new technologies while providing greater transparency and restricting the potential for misuse, the White House said.“Companies that are developing these emerging technologies have a responsibility to ensure their products are safe,” the White House said in a July 21, 2023, fact sheet announcing the voluntary commitments. “To make the most of AI’s potential, the Biden-Harris Administration is encouraging this industry to uphold the highest standards to ensure that innovation doesn’t come at the expense of Americans’ rights and safety.”In September, another eight companies signed onto the voluntary commitments: Adobe, Cohere, IBM, Nvidia, Palantir, Salesforce, Scale AI and Stability, the White House said in a Sept. 12, 2023, fact sheet.After the announcement of the first round of voluntary commitments in July 2023, observers noted that many of the practices agreed to were already in place at many AI companies and don’t represent new regulations, PYMNTS reported at the time.The commitment to self-regulation also drew criticism from consumer groups, including the Electronic Privacy Information Center (EPIC).“While EPIC appreciates the Biden Administration’s use of its authorities to place safeguards on the use of artificial intelligence, we both agree that voluntary commitments are not enough when it comes to Big Tech,” Caitriona Fitzgerald, deputy director at EPIC, said in a July 21, 2023, statement. “Congress and federal regulators must put meaningful, enforceable guardrails in place to ensure the use of AI is fair, transparent, and protects individuals’ privacy and civil rights.”
We’re so excited to announce that we’ve added a dedicated AI Stage presented by Google Cloud to TechCrunch Disrupt 2024. It joins Fintech, SaaS and Space as the other industry-focused stages — all under one big roof.We couldn’t possibly host TechCrunch Disrupt 2024 without a huge deep dive on all things artificial intelligence. So, here is our first sneak peek at the AI Stage agenda, happening all day on Wednesday, October 30. As a classic TechCrunch stage, we have some of the nascent industry’s heavy hitters, like Alexandr Wang and Aravind Srinivas, alongside our partners like Nebius AI and others!Check the prelim agenda below and keep checking back for updates — we have a lot more to add to the AI Stage.The AI Stage agenda at TechCrunch Disrupt 2024From Search Engines to Knowledge Engines: Perplexity’s Rush Toward an AI-Curated Webwith Aravind Srinivas (Perplexity)Perplexity‘s AI-powered search engine might be the next stage of interacting with the web and knowledge in general — or not. But the company is certainly risking it all to manifest that future, even if it ruffles a few feathers along the way. Hear from the CEO how the company plans to take on all comers in this new category of tech.The Business of Labeling: A Deep Dive into Scale AI’s Massive Growthwith Alexandr Wang (Scale AI)In 2016, when Scale AI was founded, few people could have predicted that the company, which builds tools to train, test and maintain generative AI models, would eventually grow into a $14 billion business
Who’s afraid of the Big Bad DEI? The acronym is near-poisonous now — a word that creates almost instant tension between those who embrace it and those who want it dead.A prime example of this divide was the response to startup Scale AI founder Alexandr Wang’s post on X last week. He wrote about moving away from DEI (diversity, equity, and inclusion) to instead embrace “MEI” — merit, excellence, and intelligence. “Scale is a meritocracy, and we must always remain one,” Wang wrote. “It’s a big deal whenever we invite someone to join our mission, and those decisions have never been swayed by orthodoxy or virtue signaling or whatever the current thing is.”The commenters on X — which included Elon Musk, Palmer Luckey, and Brian Armstrong — were thrilled. On LinkedIn, however, the startup community gave a less-than-enthusiastic response. Those commenters pointed out that Wang’s post made it seem as if “meritocracy” was the definitive benchmark to find qualified hiring candidates — without taking into consideration that the idea of meritocracy is itself subjective. In the days that have followed the post, more and more people have shared their thoughts and what Wang’s comments reveal about the current state of DEI in tech. “The post is misguided because people who support the meritocracy argument are ignoring the structural reasons some groups are more likely to outperform others,” Mutale Nkonde, a founder working in AI policy, told TechCrunch
Scale AI to expand into new space in San Francisco California. Scale AI to expand into new space in San Francisco California.San Francisco, California — According to state and local development sources, Scale AI plans to build out new space in San Francisco. The company plans to occupy the new space at 650 Townsend Street in San Francisco, on or about December 1, 2024. According to the company website At Scale, our mission is to accelerate the development of AI applications. We believe that to make the best models, you need the best data. The Scale Generative AI Platform leverages your enterprise data to customize powerful base generative models to safely unlock the value of AI