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SimBot Challenge FAQs

Frequently asked questions about the challenge.
General
General
What is the Alexa Prize?
Alexa is Amazon’s cloud-based voice service available on over 100 million devices from Amazon and third-party device manufacturers. With Alexa, you can build natural voice experiences that offer customers a more intuitive way to interact with the technology they use every day. Our collection of tools, APIs, reference solutions, and documentation makes it easy for anyone to build with Alexa.
Why did Amazon create the Alexa Prize?
The Alexa Prize, an annual university competition dedicated to accelerating the field of conversational artificial intelligence (AI), was created to recognize students from around the globe who are changing the way we interact with technology. The goal is to advance several areas of conversational AI including natural language understanding (NLU), context modeling, dialog management, commonsense reasoning, natural language generation (NLG), and knowledge acquisition.
How does the Alexa Prize support research?
The Alexa Prize is a research testbed for university students to experiment with and advance conversational AI at scale.

Research teams own the intellectual property (IP) in their systems and are encouraged to publish scientific articles on their work. As described in the Official Rules, participating teams grant Amazon a non-exclusive license to any technology or software they develop in connection with the competition.
What new datasets will I have access to as part of the Alexa Prize?
The TEACh dataset as well as a training dataset proprietary to the live interaction portion of the SimBot Challenge will be available to competitors in each phase.
SimBot
What is the SimBot Challenge?
SimBot, a competition focused on helping advance development of next-generation virtual assistants that will assist humans in completing real-world tasks by continuously learning, and gaining the ability to perform commonsense reasoning.

The SimBot Challenge will have two phases: A public benchmark phase, and a live interactions phase. Participants in both phases will build machine-learning models for natural language understanding, human-robot interaction, and robotic task completion. Artificial intelligence challenges addressed in the competition relate to reasoning on language and scene understanding, learning from demonstration, self-learning, and task completion utilizing natural language.

Unlike previous Alexa Prize competitions, the public benchmark challenge phase will be open to university teams, as well as individuals in academia and industry interested in advancing the science of AI and engaging top researchers from around the globe. The SimBot Challenge public benchmark phase is like existing visual language navigation competitions.
What is the difference between the Public Benchmark Challenge and the Live Interaction Challenge?
The Public Benchmark Challenge is open to any individual or team, academic or industry, who wants to complete and submit a model for evaluation and rating during the evaluation period. It is based on the TEACh dataset offered to the research community in October, 2021. The Live Interaction Period’s participation is limited solely to the university-based teams selected for the SimBot Challenge in November 2021 and June, 2022. These teams will each receive Amazon sponsorship to build a SimBot that will compete in a challenge from July, 2022 to September 2022 where they will receive real time ratings and feedback from Alexa Users.
Why is the SimBot - Live Interaction Challenge only limited to university teams?
The SimBot Challenge - live interaction phase is part of the Alexa Prize which is currently limited to universities and university students in Amazon initiatives to advance AI. However, the Public Benchmarking Challenge is open to both academic and university-based teams.
What will my SimBot do?
SimBot will navigate in a virtual environment to complete challenges guided by Alexa users. SimBot will interact with objects in the environment including but not limited to those common to offices and homes. There will be obstacles and hazards introduced to make game play fun and challenging.
How will I build my SimBot?
SimBots will use images from the game and instructions from Alexa users to navigate in a virtual world. Teams will build AI models which recognize objects and scenes as well as understand natural language commands from users. We plan to provide baseline data and a baseline model as a reference but we expect teams to develop new and novel approaches as well as augment the provided data to improve performance.
Eligibility: Public Benchmark Challenge
Phase 1, SimBot challenge
Who is eligible to participate in the public benchmark challenge?
Any individual or team, academic or industry-based.
How do I sign up to participate in the public benchmark challenge?
A registration form will open on November 15, 2021 at alexaprize.com.
Is funding available to university teams competing in the public benchmark challenge?
No, funding is only available to university teams selected to participate in the SimBot Challenge. In addition to the teams selected in 2021 up to four new, high-performing teams from the public benchmark challenge will be invited to apply for the SimBot challenge, live interaction phase for which funding is available. Learn more here.
Who can apply to participate?
Any individual or team can register and participate in the public benchmark phase with exception of parties from Cuba, Iran, North Korea, Sudan, Syria, and the region of Crimea.

Registration for the public benchmark challenge will open November 15, 2021. The challenge will begin on January 10, 2022.
Do I need to be a certain age?
Participants must be at or above the age of majority in the country, state, province or jurisdiction of residence at the time of registration.
Can I enroll if a family member is an Amazon employee?
Immediate family members and household members of Amazon employees, directors and contractors are not eligible to participate.
Eligibility: SimBot Challenge
Includes sponsored teams for both Public Benchmark and Live Interaction phases
Who can apply to participate?
The Alexa Prize is open to full-time students enrolled in an accredited university, with the exception of universities in Cuba, Iran, North Korea, Sudan, Syria, and the region of Crimea (see Official Rules). Proof of enrollment will be required to participate.
Can I participate if I don’t attend a university?
No. The Alexa Prize is open only to full-time enrolled university students.
Do I need to be enrolled in a university program throughout the duration of the competition?
All participating team members must remain full-time students in good standing at their university while participating in the competition.
Do I need to be a certain age?
Participants must be at or above the age of majority in the country, state, province or jurisdiction of residence at the time of entry.
Can I enroll if a family member is an Amazon employee?
Immediate family members and household members of Amazon employees, directors and contractors are not eligible to participate. See Official Rules for additional restrictions.
If my team fails to apply for the SimBot Challenge now, will there be any future opportunities to compete in the Live Interaction challenge?
Yes, the initial application period run from October 4-31, 2021. In addition to the teams selected in 2021 up to four new, high-performing university teams from the public benchmark challenge will be invited to apply for the SimBot challenge, live interaction phase for which funding is available. Learn more here.
Will university teams selected post-Public Benchmark Challenge be eligible for funding and for what amount?
Teams selected for the SimBot Challenge in June, 2022 will be eligible for funding.
If my team was not selected during the first application period are we eligible to re-apply in may if we qualify?
Yes. University-based teams that participate in the public benchmark phase are eligible to re-apply for the SimBot challenge between May 9 - 23, 2022. Four new, high-performing university teams from the public benchmark challenge will be invited to apply for the SimBot challenge, live interaction phase for which funding is available. Learn more here.
My team is not completely comprised of university students but we perform well in the public benchmark challenge? Is there an opportunity for us to continue in the competition?
Yes, we plan to continue the public benchmark competition through the end of 2022.
My company does collaborative work with several universities, are we eligible to compete in the live interaction challenge alongside them?
No, only full-time students are eligible to participate in the SimBot challenge, which includes the live interaction period.
My university and another frequently collaborate on projects - is there any exception to the students all enrolled in one university rule?
Applications are limited to students all from the same, single, university.
Teams
How many teams will be selected to participate?
All applications will be reviewed and evaluated by a panel of Amazon experts. Up to ten teams will be selected and sponsored by Amazon. All teams selected in November, 2021 will receive a $250,000 grant while those selected in June, 2022 will receive a $200,000 grant intended to support two full-time students, a month of faculty time, free Alexa devices, and free AWS hosting including access to CPU and GPU based machines, SQL and NoSQL databases, and object storage. See the Official Rules for details.
How many team members can our team have?
There are no minimum or maximum team member requirements. All team members must be enrolled in their university throughout the duration of the competition. All teams will receive a $250,000 grant if selected in November 2021 or a $200,000 grant if selected in June, 2022 regardless of how many members are on the team. We recommend a team with 4-6 students with diverse fields of study or areas of expertise.
Can students from different universities be on the same team?
Teams must be comprised of students attending the same university.
Can one university have more than one team?
Yes, universities may have more than one team.
Can I participate on two separate teams?
You can only be a part of one team for the duration of the competition.
Can undergraduate and graduate students work together?
Yes, teams may be comprised of undergraduate and graduate students.
Do I need a faculty advisor?
All teams must nominate a faculty advisor and include the faculty advisor’s consent in the applications.
What is the role of the faculty advisor?
Faculty advisors will advise students on technical directions and be a sounding board for new ideas, similar to a graduate school advisor. They will also act as the official representative from the university for this competition.
Can we add or remove team members during the competition?
During the competition, faculty advisors may request to remove or add members to the team, subject to approval by Amazon.
Can we discuss our SimBot with faculty or students who aren’t on our team?
Only team members may work on their SimBot. However, the faculty advisor and other students and faculty members at your university may provide support and advice to your team and may co-author technical publications and research papers.
Application process
How do we apply?
Check the SimBot page for the latest update on applications.
What do we need to apply?
Once you have selected your team members, team leader, and faculty sponsor, you are ready to begin the application process.
Do all team members have to apply?
Each team must have a team lead, who should apply on behalf of the whole team. Your application must include all of your team members’ information.
Is there an application fee?
There is no application fee.
How will teams be selected to participate?
All applications will be reviewed by a panel of Amazon employees. Teams will be selected based on the following criteria: (1) the potential scientific contribution to the field; (2) the technical merit of the approach; (3) the novelty of the idea; and (4) an assessment of the team’s ability to execute against their plan. Please be sure to provide enough detail in your application to enable our experts to evaluate your proposal.
Competition details
What is the goal of the challenge?
To develop AI models which advance the state of the art and allow users to naturally interact with a robotic assistant in a virtual world to successfully complete a range of challenges.
How will winners be selected?
Winners will be determined based on the final standings at the completion of the finals period.
Can we use other funding to help us participate in this challenge?
Yes, you may use other funding to support your team, subject to the terms described in the Official Rules. External funding will need to be disclosed by January 1, 2023.
Will Alexa customers be able to engage with our SimBot?
Your team will be required to submit its SimBot for certification and publication by the Amazon Alexa team. After certification, you will enter the Internal Amazon Beta Period, where Amazon employees will test your SimBot and provide feedback. After the Internal Amazon Beta Period, we will allow Amazon Alexa customers to try your SimBot and provide feedback to you. Amazon may impose Availability Criteria, or requirements the SimBot must meet before it will be made available to Alexa users. Availability Criteria may include criteria such as a minimum average customer rating, uptime requirements, and an ability to consistently filter offensive content.
Amazon launched the Echo in the UK, Germany, India, Japan, and other countries. Will localized languages be supported?
Your team must build its SimBot using U.S. English. Your SimBot will be available to Alexa customers in the U.S. Customers in other countries may also access it by setting their Amazon PFM (Preferred Marketplace) to U.S.
Will we publish our research from the Alexa Prize?
Yes. Publishing research papers as an outcome of your work on the Alexa Prize is required for all teams participating in the competition, although teams should not publish Amazon confidential information, as described in the Official Rules. The Alexa Prize requires all teams to submit a technical paper for the Alexa Prize proceedings. Your SimBot will not be selected for the finals if your team does not submit a technical paper for Alexa Prize proceedings. Papers will be published at the end of the competition in an online Proceedings of the Alexa Prize, which will be publicly available.

Teams may also publish research papers in third-party publications and conferences, as long as all papers are provided to Amazon for review at least two weeks before the submission deadlines and no research papers are published before the Alexa Prize proceedings are published without Amazon’s prior approval.
Who will own the intellectual property rights in my submission?
You will retain ownership over your SimBot. Amazon will have a non-exclusive license to any technology or software you develop in connection with the competition. See the Official Rules for details.
Prizes
What are the prizes for winning the competition?
A prize of $500,000 will be awarded to the team that creates the best SimBot. The second-place and third-place finalist teams will receive a $100,000 and a $50,000 prize, respectively. See the contest rules for details.
Do we get a stipend and devices to participate in the Alexa Prize?
Up to ten teams will be sponsored to participate in the Alexa Prize in November, 2021. These teams’ universities will receive a $250,000 research grant to fund the team members’ work over the year. Additional teams selected to participate in the SimBot Live Interaction challenge in June, 2022 will receive a $200,000 research grant to fund the team members’ work over the year.

The sponsorship includes one Alexa-enabled device per team member for up to a total of three devices per team and one Alexa-enabled device per faculty advisor, free AWS services to support the development of their SimBot, and support from the Alexa team.
How can the grant be spent?
The grants will be awarded with the intention that they will support two full-time students for the duration of the Competition and one month of the Faculty Advisor’s salary. No more than 35% of the research grants may be allocated to administrative fees. If your team would like to use the funds in another manner, your faculty advisor must receive approval from Amazon before doing so.
What happens if we are selected and receive a stipend but can no longer participate?
Stipends will be awarded in installments payable to the university. If your team withdraws before any of the installments, remaining funds will not be transferred to the university.
How will the prizes be distributed among a team?
The first, second, and third place prizes will be distributed equally among all registered team members. The official list of registered team members must be confirmed by January 30, 2023.
Timeline
What are the key milestones of the competition?
Teams must submit their applications between October 1, 2021 and October 31, 2021. Between November 1 and November 10, 2021, we will announce teams selected to participate. In the summer of 2022 following the public benchmark phase and the second application period teams will be invited to an Alexa Prize Bootcamp at Amazon where they will receive training on the resources made available to all competing teams. The finals will be scheduled between January 30 and March 27, 2023 and will determine the winning teams in the first annual SimBot Challenge.
If selected, when will we receive the stipend, devices, access to the Alexa Prize SimBot toolkit, our AWS account, and be introduced to our point of contact?
We will reach out to all teams no later than November 10, 2021 with instructions on next steps. Up to ten teams will be selected to receive a $250,000 stipend, Alexa-enabled devices, free AWS services to support their development efforts, and support from the Alexa team.
More information
See the full competition rules or submit your questions. Need assistance? Email: alexaprizesupport@amazon.com

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US, CA, San Francisco
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Member of Technical Staff, Frontier AI & Robotics (FAR)
US, CA, San Francisco
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US, MA, Boston
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Sr. Applied Scientist, SSG Science
IN, KA, Bengaluru
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Applied Scientist, SSG Science
IN, KA, Bengaluru
Amazon Devices is an inventive research and development company that designs and engineer high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health Wellness, Amazon Echo & Astro products. This is an exciting opportunity to join Amazon in developing state-of-the-art techniques that bring Gen AI on edge for our consumer products. We are looking for exceptional scientists to join our Applied Science team and help develop the next generation of edge models, and optimize them while doing co-designed with custom ML HW based on a revolutionary architecture. Work hard. Have Fun. Make History. Key job responsibilities What will you do? - Quantize, prune, distill, finetune Gen AI models to optimize for edge platforms - Fundamentally understand Amazon’s underlying Neural Edge Engine to invent optimization techniques - Analyze deep learning workloads and provide guidance to map them to Amazon’s Neural Edge Engine - Use first principles of Information Theory, Scientific Computing, Deep Learning Theory, Non Equilibrium Thermodynamics - Train custom Gen AI models that beat SOTA and paves path for developing production models - Collaborate closely with compiler engineers, fellow Applied Scientists, Hardware Architects and product teams to build the best ML-centric solutions for our devices - Publish in open source and present on Amazon's behalf at key ML conferences - NeurIPS, ICLR, MLSys.
Applied Scientist, Prime Video Commerce Insights
GB, London
Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies — all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business — available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on. Prime Video Commerce's mission is to present the right offer to the right customer at the right time — across subscriptions, channels, and transactional video, in every market and on every device. Our science team replaces static business rules with ML-driven decisions that personalise the entire commerce journey, from discovery through checkout and beyond. We operate at scale across hundreds of millions of customers, and we are expanding into new frontiers — combining the latest advances in agentic and generative AI, behavioural simulation, and causal inference to understand the impact of our decisions before they reach customers. We are looking for an Applied Scientist to join the Prime Video Commerce Insights team in London. You will develop and deploy customer-facing models, understand customer behaviour at scale, and explore emerging techniques that help us make better decisions faster. This is a delivery focused role within a high-visibility multidisciplinary group of engineers and scientists, focused on improving the customer experience for Prime Video. Key job responsibilities - Research, design, and implement machine learning approaches (e.g. reinforcement learning and recommendation systems) that personalise across different customer touch points. - Collaborate with engineers to deploy and integrate successful experiment results into large-scale, complex Amazon production systems with low latency. - Design and execute rigorous experiments to demonstrate the technical efficacy and business value of your methods. - Act as a subject-matter expert and help define the science roadmap and research agenda in line with organisational priorities and production constraints. - Provide machine learning thought leadership to technical and business leaders, thinking strategically about business, product, and technical challenges. - Work with technical product managers to work backwards from what matters to customers and deliver ML-backed solutions. - Share results with the team and wider scientific community through documents that are both statistically rigorous and compellingly relevant. A day in the life You will be a research leader and innovator within the Commerce Insights organisation. You will collaborate with talented engineers and senior leaders to solve problems that are uniquely challenging at Amazon's scale: personalising commerce decisions across multiple business lines, balancing competing objectives, and positively impacting hundreds of millions of customers worldwide. The problems here are technically deep — combining large-scale ML, causal reasoning, and behavioural modelling in a domain where every decision carries real revenue and customer-experience consequences. Your research will ship to production and move metrics that matter. About the team You will join a team of engineers and applied scientists with a proven track record of solving highly complex, ambiguous problems — work that has produced patents and publications at top-tier conferences. The team has direct visibility to senior Prime Video leadership and collaborates broadly across Commerce, Content, and Platform teams to shape how customers discover, subscribe to, and engage with video content. This is a team that operates at the intersection of rigorous research and real-world impact, where your ideas move from whiteboard to production for hundreds of millions of customers.
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