Senior Generative AI Engineer
$150,000 USD/year Pay is set based on global value, not the local market. Most roles = hourly rate x 40 hrs x 50 weeks ($75 USD/hour)

gt.school
Remote, any timezone
full-time (40 hrs/week)
Long-term role

Senior Generative AI Engineer $150,000USD/year ($75 USD/hour)

gt.school
Remote, any timezone
full-time (40 hrs/week)
Long-term role

Description

At gt.school, we're not just reimagining education; we're actively revolutionizing it. By leveraging cutting-edge AI technology, we aim to redefine the learning experience, making it faster, more engaging, and highly personalized. Our platform challenges traditional educational models, offering a digital, self-paced learning environment that's both captivating and effective. In this transformative landscape, we're looking for an AI Super Engineer to lead our core AI Engineering team to new heights.

As an AI Super Engineer, you will play a critical leadership role, driving the development and implementation of advanced AI technologies. This position demands a unique blend of technical expertise, strategic thinking, and team leadership. You'll be responsible for guiding our AI initiatives, shaping their direction, and ensuring their alignment with our overarching educational goals.

What you will be doing

  1. Lead the design and development of sophisticated AI algorithms and models, particularly focusing on enhancing our educational content and core data models.
  2. Spearhead the creation of scalable, automated workflows for AI educational content, ensuring efficiency and effectiveness.
  3. Oversee the development of weekly prototypes for executive leadership review, demonstrating innovation and forward-thinking in AI applications.
  4. Drive thought leadership within the team, constantly exploring new methodologies in AI content creation and work processes.
  5. Maintain up-to-date knowledge of the latest advancements in AI, applying this knowledge to keep our platforms and tools at the forefront of educational technology.
  6. Manage the timely delivery of AI content generators and their documentation, including delegating tasks to supporting teams.
  7. Collaborate closely with AI Operations & Academic Engineering teams to ensure AI-generated content is in line with our data structures and curriculum standards.

What you will NOT be doing

  • Admin work - we have a team of manual operations workers as well as an AI Operations team to take care of any low-value admin work, allowing you to focus your time on high-order bits.
  • Maintaining relationships with external stakeholders and external leadership - instead, you'll work with our team of 70 colleagues internally; our department's leader takes care of relationship management.
  • Doing the same thing everyday, using the same tools - we actively encourage innovation and outside-of-the-box thinking. Our top performers are always proposing potentially game-changing ideas (and we implement them!).

Candidate requirements

  1. Advanced degree (Masters or PhD) in Computer Science, AI, Machine Learning, or a related field.
  2. A minimum of 1 year of experience in developing generative AI models, like GPT-4, with a deep understanding of their nuances, limitations, pitfalls, and best practices.
  3. Demonstrated leadership experience in managing technical teams and driving complex projects to successful completion.
  4. Strong problem-solving skills, innovative mindset, and a commitment to pushing the boundaries of AI in education.
  5. Ability to attend daily Stand-Up Zoom meetings at 9AM CST and commit to an 8-hour shift between 5 AM and 5 PM CST, Mon-Fri.

Meet a successful candidate

Watch Interview
Kavya Harlalka
Kavya  |  Software Engineer
India  

Every developer knows that tunnel vision you get when the interruptions finally stop and the code can flow through you without distraction. ...

Meet Kavya
How it works

Applying for a role? Here’s what to expect.

We’ve curated a series of steps that take the guesswork (and cognitive bias) out of recruiting the best person.

Pass Cognitive Aptitude Test.
STEP 1

Pass Cognitive Aptitude Test.

Pass English Proficiency Test.
STEP 2

Pass English Proficiency Test.

Prove Real-World Job Skills.
STEP 3

Prove Real-World Job Skills.

Ace An Interview Or Two.
STEP 4

Ace An Interview Or Two.

Accept Job Offer.
STEP 5

Accept Job Offer.

Celebrate!
STEP 6

Celebrate!

Frequently asked questions

About the role

About Crossover

Work examples

Our core AI Engineering team had been working on an AI Content Generator that brought historical figures to life, in order to teach students. One day, we had the idea of leveraging this academic-focused AI Content Generator to support our marketing team in their advertising efforts. Within a few days, we managed to put together this creative marketing advertisement, built solely using generative AI.

Meet some people who've landed similar jobs

Why Crossover

Recruitment sucks. So we’re fixing it.

The Olympics of work

The Olympics of work

It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.

Premium pay for premium talent

Premium pay for premium talent

Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.

Shortlist by skills, not bias

Shortlist by skills, not bias

We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.