The work happens before you search
Two employers describe the same job in completely different words. One hides pay behind “competitive”. Another buries the seniority level in paragraph four, under twelve technologies, only two of which matter. A third posts a range in one currency and a commitment in another unit. Read forty of those in a week and you stop comparing roles and start comparing whoever wrote the clearest ad.
So we do that reading first. Every role goes through an enrichment pass that reads the posting and maps it onto one fixed schema. What comes out is not a prettier listing. It is a record with the same twenty-one fields as every other role on the platform, whether the employer supplied them or not.
- Identity
- TitleCompanyEngagement typeOpeningsDate postedDemand signal
- Place
- LocationRemote, hybrid, or on-siteEligible countries
- Compensation
- Hourly rangeMonthly rangeAnnual rangeCurrency
- Requirements
- Skill tagsCategoriesRequirementsResponsibilities
- Guidance
- Role overviewWho should applySalary insightApplication tip
Missing pay stays visibly missing rather than getting filled with a guess. That fixed shape is what lets you put two openings side by side, and it is the only thing the fit score reads from.
How the matching runs
You upload a resume
PDF, DOC, or DOCX up to 3 MB. No form, no email, no account. We check what is inside the file before we accept it, so renamed executables and scripts get rejected at the door.
We build an anonymous profile
We pull out your skills, seniority, domains, and years of work. Your name, email, and phone number are held back from the matching profile. They reach an employer only when you apply to that employer’s role, and never before.
You get a ranked list
You see a fit score on every live role in under 20 seconds. Above 70% is a strong match. Above 50% is worth a look. Upload the same resume again and results come back instantly.
Your profile and each role rubric become vectors, and matching compares them by similarity. The full pipeline, including the thresholds and the application routes, is documented in How it works.
Who we list, and who decides
NearSkill is not the employer. Roles come from verified employers and partner hiring programs, and each one is structured before it appears. What differs between roles is how much of the application we handle before it reaches the employer.
| Partner | Focus | NearSkill’s role |
|---|---|---|
| Mercor | AI talent platform | Roles structured, scored, and listed on NearSkill. Applications follow the route shown on each role.AI talent platform |
| Micro1 | Remote-first AI talent marketplace | Roles structured, scored, and listed on NearSkill. Applications follow the route shown on each role.Remote-first AI talent marketplace |
| Turing | AGI infrastructure company | Roles structured, scored, and listed on NearSkill. Applications follow the route shown on each role.AGI infrastructure company |
| SME Careers | Expert-hiring marketplace | Roles structured, scored, and listed on NearSkill. Applications follow the route shown on each role.Expert-hiring marketplace |
| Terac | Expert marketplace | Roles structured, scored, and listed on NearSkill. Applications follow the route shown on each role.Expert marketplace |
| AfterQuery | Applied research lab | Roles structured, scored, and listed on NearSkill. Applications follow the route shown on each role.Applied research lab |
| Handshake AI | AI training data platform | Roles structured, scored, and listed on NearSkill. Applications follow the route shown on each role.AI training data platform |
| Meridial | AI training expert marketplace | Roles structured, scored, and listed on NearSkill. Applications follow the route shown on each role.AI training expert marketplace |
NearSkill is not the employer, and final hiring decisions belong to the employer on every route. We structure the role, score the fit, and route the application. We never accept or reject a candidate by algorithm, and we never take a cut of your pay. Pay data for each partner is compiled under our editorial standards.
What we cover
NearSkill runs a single pipeline built for technical and AI work: generative AI training, data science, localized language evaluation, and advanced software engineering.
Browse every categoryHow we operate
- Structured role data
- We extract, standardize, and enrich messy role data into precise skill tags and transparent compensation models. Two roles from two employers land on the same fields, so you can put them side by side.
- Accountless by design
- There is no sign-up, because there is nothing to sign up for. Your matching profile holds no name, no email, and no phone number, and the results never sit behind a data wall.
- Tech and AI specialization
- One pipeline built for generative AI training, data science, localized language evaluation, and advanced software engineering. We leave generalist hiring to the job boards.
- Free for candidates, funded by employers
- Matching, fit scores, and every listing cost you nothing, and there is no paid tier to upgrade into. Where we are engaged to fill a role, the employer pays a success fee on a completed hire. That fee never reduces your pay, and no one representing NearSkill has a legitimate reason to ask you for money at any stage.
The founder behind the research
Every career guide and platform pay report on NearSkill is written and reviewed by Ankit Kumar, the founder. The bylines are not decoration: named authorship ties each pay figure and platform verdict to a person you can verify, which is the standard the guides hold themselves to.
Ankit Kumar is the founder of NearSkill, an AI-powered career matching engine for specialized tech and AI roles, including generative AI training, domain expert evaluation, data science, and advanced software engineering. He built NearSkill after watching the specialized AI job market fragment into postings with missing pay, inconsistent skill requirements, and no way to compare roles side by side. His guides cover AI trainer and domain expert compensation, resume strategy for evaluation roles, how fit scores work, and the skills that matter in generative AI training work.
Ankit Kumar
Founder, NearSkill
Who operates NearSkill
- Operator
- NearSkill, an independent career matching platform for tech and AI roles.
- Based in
- Mumbai, Maharashtra, India.
- Contact
- support@nearskill.in or the contact page. Full terms in the Terms of Service.
- Governing law
- The laws of India, with courts in Mumbai holding exclusive jurisdiction.
Common questions
Is NearSkill a job board?
No. A job board stores postings and shows them back to you. NearSkill is a matching engine: it maps each role onto one structured record with skill tags, seniority, and a compensation model, then scores that record against your profile. The ranking is the product, not the list.
Is NearSkill free for job seekers?
Yes, and it stays free. Matching, fit scores, and role listings cost nothing, and there is no subscription, trial, or paid tier to upgrade into. NearSkill is funded by employers: where we are engaged to fill a role, the employer pays us a fee on a successful hire, and none of it is deducted from your pay. Because the hiring side pays, no one representing NearSkill has any legitimate reason to ask you for money at any stage.
Do I need an account?
No. Upload a resume, read your matches, and apply. There is no sign-up wall, no email capture, and no verification step before you see results.
What does a fit score mean?
A fit score measures how much your profile overlaps with what a role asks for: your skills, your years of experience, and the domains you have worked in. Above 70% is a strong match. Above 50% is worth a look. It reads from the structured record, never from how well a posting is written.
How is my resume handled?
The file is parsed into an anonymous skills profile used only for matching, and stored encrypted. Your resume is never sold and never shared with recruiters. Your name, email, and phone number reach an employer only when you apply to that employer’s role.
Does NearSkill apply to jobs for me?
No. NearSkill ranks roles and shows you the strongest fits. Running a match never creates an application and never puts you on a recruiter call list. An application exists only once you submit one.
Still stuck? Send the team a message. Reviewed .
New to AI training, evaluation, and domain expert careers? Start with the career guides, covering pay, fit scores, and resume strategy.
Find the roles that fit you
Upload a resume for a ranked list, or search 1,744 live roles directly. Both take you to the employer, not to a sign-up form.