Uplevyl
Website:
uplevyl.com
Job details:
About Uplevyl
Uplevyl builds AI-powered knowledge and community infrastructure for organizations serving women. Our products include UpGenie (our domain-specific AI assistant), WeHub (our community platform), and UpSocial (a social platform for women). We work with mission-driven partners to turn complex, high-stakes information into clear, trustworthy guidance, and to build systems that create lasting impact.
We hold a simple conviction: in high-stakes domains like rights, law, and financial security, a generic AI is not enough. The answers people stake their lives and livelihoods on need a purpose-built system with verified, native data. That is what we build, and it is why the work is urgent. AI is reshaping how the world learns, works, and earns, and the women we serve cannot afford to be left off that train.
We have also made a deliberate choice about how we build: a small team of exceptional people, paid well above market, each doing work that would normally take several. We would rather be ten people who move the world than thirty who move paper. That choice sets the bar for every hire, including this one.
About the role
Our products answer questions people stake their livelihoods on. Every answer has to be right: right about the law, right about the jurisdiction, and honest about what it doesn't know. Getting there depends on two things happening constantly in the background: someone checking that our legal sources are accurate and current, and someone testing whether the product's answers actually hold up against them. That is where you come in.
You will work alongside our Legal Engineer, reviewing the legal documents and sources that sit underneath our product, and supporting the testing and evaluation work that tells us whether an answer is right. You will not be giving legal advice, appearing for clients, or making the final call on what the product says. What you will be doing is the careful, detail-heavy work that makes those calls possible: reading documents closely, flagging what looks wrong or out of date, and helping run the tests that catch errors before they reach a user.
We currently cover US workplace rights across state, county and city jurisdictions. US bar admission is not required, and you are not expected to arrive as a finished practitioner. What matters is that you can read a legal document carefully, notice what is wrong or unclear, and get sharper at it week over week.
What you'll do
- Review legal source documents. Read statutes, regulations and guidance across US state, county and city jurisdictions, and flag anything that looks outdated, ambiguous, or scoped to the wrong jurisdiction.
- Support the golden datasets. Help build and verify the query-and-answer sets we test the product against, organized jurisdiction by jurisdiction and law type by law type.
- Run testing and evaluation tasks. Compare model outputs against verified answers, log where they diverge, and note precisely what went wrong and why.
- Document your review work. Record what you checked, what you found, and the reasoning behind any judgment call, so the rest of the team can trust and reuse it.
- Use AI tools to move faster. Draft comparisons, structure findings, and speed up repetitive review work, while keeping every legal judgment call in human hands.
Who we're looking for
- Academic grounding in law. A degree, coursework, or research background that has given you a real, if not yet professional, understanding of employment or workplace-rights law.
- Genuine interest in US employment law. You may not have direct professional experience in it, but you are curious about the subject and open to building real depth in it here.
- Comfort with AI tools. You already use tools like Claude or ChatGPT in your own work, and you want to get better at using AI to complete tasks faster and more effectively, not to skip the thinking.
- Sharp attention to detail. You can read a dense document twice and catch something new the second time. Small inconsistencies bother you until you resolve them.
- Comfort with ambiguity. You are willing to ask when something is unclear, and precise about what you do and don't know.
Internship details
- Duration: Three months, with the possibility of extension or continued engagement based on performance.
- Stipend: ₹15,000 per month.
- Scope: This is a document-review and testing-support role. You will not be providing legal advice, appearing for clients, or required to hold a law license.
How we work at Uplevyl
- We finish what we start, and we do it well. We follow through on what we say we'll do, and we care about the difference our work makes.
- We listen before we decide. Before we act, we ask who it actually affects: a customer, a partner, a teammate, or the communities we serve. Trust here is built the plain way, by consistently showing up for people.
- We move with ownership and urgency. We don't wait for perfect information or for someone else to raise their hand. If something looks like it could go wrong, we say so early. We make the call, we move fast, and we hold a high bar for quality.
- We are better together than alone. We work across teams, say what we actually think, and go out of our way to help each other succeed. Leadership here is measured by the impact you create.
- We stay curious and keep learning, including how to use AI well. We hold ourselves to the bar we're building toward: questioning our own assumptions and using AI to think better and move faster.
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