Fintech and Crypto Expert
Up to $100/hr as listed
- Listed pay
- Up to $100/hr as listed
- Field
- Writing
- Languages
- English
- Where
17 countries
United States, Germany, Brazil, India, Bangladesh, Bhutan, Indonesia, Cambodia, Sri Lanka, Malaysia, Nepal, Philippines, Pakistan, Singapore, Thailand, Timor Leste, Vietnam- Type
- Contract, remote
- Posted on SME Careers
- First seen here
- 9 October 2026
Summary
In this hourly, remote contractor role, you will work as a Fintech / Crypto Subject Matter Expert (SME) to review AI-generated fintech, payments, and crypto/Web3 responses and/or create expert...
From the SME Careers listing
In this hourly, remote contractor role, you will work as a Fintech / Crypto Subject Matter Expert (SME) to review AI-generated fintech, payments, and crypto/Web3 responses and/or create expert content, evaluating reasoning quality and step-by-step problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in financial product logic, payments flows, blockchain/crypto concepts, custody and key management, smart-contract risk reasoning (conceptual), fraud/AML considerations, and regulatory-compliance awareness; fact-check technical and market concepts; write high-quality explanations and model solutions that demonstrate correct reasoning; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs.
Important:
There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.
Responsibilities
- Develop AI Training Content: Create detailed prompts and gold-standard fintech/crypto outputs (explanations, scenario analyses, risk write-ups, user guidance).
- Optimize AI Performance: Evaluate and rank AI responses to improve correctness, clarity, safety, and practical usefulness.
- Ensure Model Integrity: Test AI outputs for inaccuracies, misleading certainty, unsafe financial guidance, and bias; validate reliability across use cases.
Requirements
- Bachelor’s degree (or higher) in Finance, Economics, Computer Science, Engineering, Business, or a related field (or equivalent professional experience).
- 5+ years of professional experience in fintech, payments, banking, crypto, or adjacent domains (product, operations, risk, compliance, research, engineering, or consulting).
- Strong understanding of payments and money movement: authorization/settlement, chargebacks, fees, rails (card networks, ACH, wires), and common failure modes.
- Strong understanding of crypto/blockchain fundamentals: transaction lifecycle, consensus (high level), on-chain vs off-chain, token mechanics, and common misconceptions.
- Solid risk mindset: fraud vectors, account takeover, social engineering, custody/key management risks, and safety-first user guidance.
- Familiarity with compliance concepts relevant to fintech/crypto (high level): KYC/AML, sanctions awareness, consumer protection, and disclosure practices.
- Ability to evaluate answers for internal consistency (units, timelines, fees, security assumptions, and realistic constraints).
- Minimum C1 English proficiency with strong written communication and the ability to explain complex topics clearly.
- Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
- Prior experience with AI data training/annotation, financial content QA, risk/compliance review, or technical writing is strongly preferred.
Text above is the platform's own listing, shown as published. Check the details on SME Careers before applying.
Prepare for the assessment
Practice questions and what each platform says about its screening for this kind of role:
Terms in this listing
- Prompt
- The input given to a model: a question, an instruction or a conversation so far.
- Annotation
- Adding labels or notes to data such as text, images, audio or video so a model can learn from it.
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