Why this grade This listing scored 66/100, which is a C. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 15 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Developer Data Science Entry level Intern
About Binance Accelerator Program
Binance Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets space. You will be given the opportunity to develop your skills at Binance and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about the BAP Program HERE.Who may apply
Current university students and recent graduates.*Terms of employment / engagement shall be subject to contract and local applicable lawsAbout the Role
We are building cutting-edge AI systems that enable the next generation of intelligent applications. Our team focuses on developing AI agents, benchmarking datasets, and robust infrastructure to support real-world deployments at scale. As part of our engineering-driven culture, you'll be exposed to a fast-paced environment where experimentation, collaboration, and innovation are encouraged.
Responsibilities
- Contribute to the design and development of AI agents integrated into live production systems
- Help build and maintain benchmark datasets to evaluate agent performance, accuracy, and safety
- Design and refine prompts, tool integrations, and agent workflows
- Implement, test, and optimize services and tooling across the stack — backend, data, scripting, automation, and glue code
- Collaborate closely with senior engineers on system design, multi-agent orchestration, and deployment
- Participate in code reviews, debugging, and documentation to ensure best practices
- Work in a team environment that encourages mentorship, knowledge sharing, and hands-on learning
Requirements
- Currently pursuing a degree in Computer Science, Software Engineering, or a related field
- Strong programming fundamentals — language-agnostic, but practical experience with at least one of Python, Go, TypeScript, or similar
- Solid understanding of software engineering principles (data structures, algorithms, version control)
- Familiarity or working knowledge of any AI agent framework (e.g., OpenClaw, hermes-agent, LangChain, CrewAI, AutoGen)
- Interest in AI, data-driven systems, and building tools for real-world applications
- Good communication skills and willingness to learn quickly
What We're Looking For (Culture & Mindset)
- AI-native working style — you naturally reach for AI tools in your daily workflow, not as an afterthought but as a core part of how you think, build, and solve problems
- Eager to learn and open-minded — you stay current with the latest technologies and aren't afraid to adopt new frameworks, tools, or paradigms before they're mainstream
- First-principles thinker who's comfortable redesigning workflows rather than just optimizing existing ones
Nice to Haves
- Experience with LLMs, prompt engineering, or building tools on top of AI models
- Exposure to multi-agent systems or agent orchestration patterns
- Familiarity with Docker, cloud platforms, or CI/CD pipelines
- Machine learning knowledge is a plus, but not required
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
Quick question · anonymous · one tap
Would you apply to this job?
Answer to see what other job seekers said.
Keep looking
Similar remote roles, still open
- C 1d ago
- C 1d ago
- C 1d ago
- C 5d ago
See every "Binance Accelerator Program" role →
Get new “Binance Accelerator Program” roles by email
One email a day with what is new in "Binance Accelerator Program". Nothing new, no email.
We confirm the address first, and every mail carries an unsubscribe link. Alerts are ours, not a third party's.
Or follow the daily Telegram channel for the best new remote roles every morning.
Your turn · no account needed
Help the next applicant
You may know something about this listing that we cannot see from here. One tap. No account needed. Signed-in reports earn points once the evidence agrees with you.
I know what it pays
Sign in with Google to earn points for reports — 100 confirmed points buy a week of Early Access.
Where this listing came from
- 13 Oct 2026 Himalayas first sighting
Seen on 1 board over 0 days.