Leading AI Training Company Codesmith Secures $118 Million IRS Contract

Codesmith Secures Major IRS Contract



In a significant development for the federal workforce, Codesmith, a leading name in AI training, has been awarded a substantial contract from the Internal Revenue Service (IRS) valued at $118 million. This contract will enable Codesmith to deploy its cutting-edge training methods, akin to those used to train engineers at top tech companies like OpenAI and Google, directly to IRS employees.

Founded in 2015 by Will Sentance, an Oxford Fellow with expertise in AI and engineering, Codesmith has established itself as a pioneer in producing exceptionally skilled engineers. The company focuses on designing training programs that aim to create what they term "10x engineers, " and boasts an impressive alumni network, with graduates placing in prestigious firms such as Tesla, Anthropic, and even the U.S. House of Representatives.

The contract awarded is part of a multi-award Blanket Purchase Agreement (BPA), under which Codesmith will serve as the primary subcontractor. This agreement allows for task orders to be issued specifically for training provision to personnel within both the Treasury and IRS departments. Such training is crucial as it addresses the growing need for advanced technical capabilities in rapidly evolving fields such as artificial intelligence and machine learning.

Codesmith’s unique approach emphasizes a student-centered methodology, which has been successful in creating nearly 5,000 elite engineers since its inception. The firm operates without traditional advertising, relying instead on the word-of-mouth referrals that attest to their efficacy. Independent evaluations indicate that 85-90% of Codesmith graduates are placed in jobs within a year, with about two-thirds of them receiving promotions within three years of employment. The average starting salary for these individuals stands at an impressive $130,000, reflecting the quality of skills imparted by the training.

As part of this unprecedented initiative, instructors who have significant experience from leading tech companies such as Meta and Anthropic will lead the training sessions. This will bring a wealth of knowledge and practical insights, making the training more aligned with the current demands of the tech industry. Codesmith has curated a team that includes over 100 alumni who are positioned at principal engineer levels or above to contribute to the training programs.

Starting in spring 2026, the training curriculum will be tailored to meet the specific needs of the IRS, combining theoretical knowledge with hands-on experience in systems that are integral to modern technology. This strategic move not only promises to upskill the federal workforce but also ensures that the IRS remains competitive in the digital age by developing a robust workforce adept in AI and machine learning technologies.

In the founder's words, Will Sentance comments, "We are excited to bring the same rigorous AI engineering training that produces leaders at OpenAI and Google directly to the federal workforce. This contract not only validates our training approach but also demonstrates a commitment to enhancing the technical capabilities of federal employees across the country."

Through this partnership, Codesmith is set to play a crucial role in equipping government personnel with the skills needed to navigate and leverage advancements in AI, ensuring a future-ready workforce that can meet the challenges of an increasingly digital economy. With federal agencies under pressure to keep pace with technological advancements, this initiative signifies a major forward step toward building expertise that can transform public services.

In conclusion, Codesmith's contract with the IRS represents a leap forward in bridging the gap between technology and government services. It highlights the importance of investing in training and development for workforce enhancements while reinforcing Codesmith’s identity as a trailblazer in AI education.

Topics Business Technology)

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