How to Write a Job Description for AI, Web3 and Software Roles
TL;DR
- Write the job around the actual work, not the acronym list.
- Separate must-have skills from nice-to-have skills so strong candidates do not self-reject.
- For AI roles, specify model work. For Web3, name the chain or ecosystem.
- Vet with a small paid work sample and a written rubric before a full interview loop.
- State a salary range even if it is wide.
The Short Answer
A strong job description for AI, Web3 and software roles names the problem the hire will own, the specific skills needed to solve it, and the evidence a candidate should show. The tradeoff is speed versus precision. A vague JD brings more applicants but worse matches. A tightly scoped JD brings fewer applicants and faster screening.
Use this table as a rough filter for each stage.
| Stage | What to check | Red flags |
|---|---|---|
| JD review | Can the candidate restate the core problem without five clarifying questions? | The JD lists every tool the company has ever used. |
| Work sample | Does the candidate produce a working artifact with limited hand-holding? | They describe past work but cannot show a small relevant sample. |
| Team interview | Can they explain tradeoffs they made, not just features they shipped? | They blame tools, chains, or org structure for every failure. |
| Final check | Is the role still the same as the JD you posted? | The hiring manager quietly added senior scope with junior pay. |
What Makes This Hire Different From a Typical Tech Hire
AI, Web3 and software roles shift faster than general business roles, and the vocabulary is still fragmented. A senior Smart Contract Engineer at one company may mean protocol design. At another it may mean frontend integration with wallet libraries. For regulated Web3 roles, compliance duties can include token listings, cross-border licensing, and travel rule work. The Remote Legal and Compliance Jobs at Crypto, AI and Software Companies guide covers how those roles are scoped outside engineering. Exact compliance duties vary by country and change often, so confirm specifics with a licensed lawyer.
AI job titles are also unstable. Two companies can post "AI Engineer" and mean completely different jobs. One is productionizing model APIs. Another is cleaning datasets and writing evals. For support and data-heavy roles, AI Trainer Jobs Explained: The Work, the Pay and the Companies Behind It explains one common position that often gets mislabeled as research or engineering. If your JD borrows a title, define the actual weekly work in the first two sentences.
Software roles have the opposite problem in some cases. The title may be stable, but the required ownership level is not. A full-stack developer at a small startup may own payments, deploys, and support. At a larger company, the same title may sit inside one product squad. Candidates cannot read your mind, and they will often assume the safer interpretation.
This means the usual credential screen matters less. You need evidence that a candidate has built or operated something in an environment with incomplete information. A list of degrees does not tell you whether an AI engineer can debug a flaky vector search pipeline or whether a Web3 backend engineer understands nonce management well enough to avoid stuck transactions.
How to Actually Vet the Skill
You cannot vet these roles with a resume pile alone. Use a short work sample that mirrors one slice of the actual job, then score it against a written rubric before anyone enters a full interview loop.
For AI roles, ask candidates to inspect a small dataset, write a prompt evaluation, or explain how they would deploy a model endpoint with retries and cost controls. Do not accept "I have used ChatGPT" as evidence of model deployment or fine-tuning. If the role is product-facing, ask for a short written decision memo about model risk or latency tradeoffs.
For Web3 roles, ask for a transaction flow description, a small Solidity or Rust snippet, or a critique of a real contract interaction. The work sample should test whether they know how gas, nonces, slippage, and failure states actually behave. If you are hiring non-engineers such as community or marketing people, ask them to explain a token launch or governance proposal in plain language without overpromising returns.
For software roles, a small code task still works, but the rubric should weight production habits. Ask for tests, error handling, logging, and a short note on what they would monitor. Remote DevOps and SRE Jobs: Keeping Platforms Up From Anywhere has practical examples of what operational work looks like on remote teams. If the role is frontend-heavy, look for evidence that the candidate understands accessibility, latency, and failure states, not just component libraries.
For product roles, check whether the candidate can separate a real user problem from a feature request. The Remote Product Manager Jobs at Tech Companies: What Gets PMs Shortlisted guide breaks down the signals hiring managers use. If you write a vague product JD, you will get feature-pitch applicants instead of people who can manage scope.
Pay bands should also be grounded. The What Remote Full Stack Developers Earn, From Junior to Staff (2026) guide shows why seniority and region change the number. State your range even if it is wide. Candidates in AI, Web3 and software often skip listings with no salary signal. They want to know whether the role matches their level.
Where to Source Candidates
Post the role where candidates who know these industries actually look. Focused boards work better than a general job site because the listing sits next to similar roles, and candidates can search by industry, department, and region. JobsBoard lists thousands of remote and global job listings across AI, Web3 and software. You can post a job on JobsBoard with a clear scope and receive applications there.
For AI roles, start by browsing remote AI jobs to see how similar companies describe the work and where your role fits. For crypto and Web3 roles, remote Web3 jobs filters by blockchain ecosystem, which helps you write a JD that names the right chain instead of listing "blockchain" as a vague requirement. For broader software and developer tools roles, remote jobs on JobsBoard lets candidates filter by department and role.
Also check companies hiring now to see how employers in these industries position their openings. For ongoing candidate flow, point potential applicants to free weekly job alerts, which send matching roles without requiring an account.
Beyond the posting, work community channels and referrals. Share the JD in industry-specific forums, developer groups, and alumni communities. Ask current engineers whether they know someone who left a strong impression. Referrals are slower but often produce candidates who already understand the domain.
Frequently Asked Questions
These are the questions hiring managers ask most often when writing these job descriptions.
How do I write a job description for an AI role when the title is unclear?
Start with the weekly deliverables. Write whether the person will train models, fine-tune open weights, build retrieval pipelines, evaluate outputs, or productionize APIs. Then choose a title that matches the dominant task. Avoid title inflation or you will spend the first screening calls correcting expectations.
Should I list required years of experience for Web3 roles?
If you must, keep the range modest and focus on proof. Web3 experience is uneven because the field is young. A candidate with two years of deep protocol work may outperform someone with five years of shallow token projects. Ask for evidence like audits, shipped code, or incident reports.
Do AI engineer job descriptions need to mention specific models?
Yes, when the work depends on them. If you use OpenAI, Anthropic, open-weight models, or vector databases, say so. If the stack is flexible, state that. Specificity reduces applicants who only know the buzzwords, but do not list every model your company has ever tried.
What is the biggest mistake in software job descriptions?
Making the requirements section a wish list. That filters out strong candidates who could do the job but do not match every tool. Keep must-haves to the skills someone needs on day one. Put adjacent skills in a nice-to-have section and label it clearly.
Where to Look Next
A focused, honest job description is the fastest way to reduce screening time and attract people who can do the work. If you are hiring, use this structure to write the role, then post it on JobsBoard. Job seekers can return to the board when new roles go live.
