Rejoinly

Paid work-sample trials that let career-break returners skip the CV screen

Employers Women

TL;DR Rejoinly runs paid two-week project trials for professionals, mostly women, coming back after a career break. Employers judge the work before they see the CV, so a three-year gap stops being the first filter. Mid-sized firms that cannot run their own returnship pay per trial and a fee on hire.

The problem

India's gap between men and women at work is among the widest anywhere - barely a quarter of working-age women hold jobs, and maternity breaks push a lot of them out[1]. The women who want back in hit a familiar wall. Screeners see the gap, assume the skills are rusty and move on.

Skill tests were meant to fix this, but they don't fix everything. A 2025 study found that language models scored Indian interview transcripts consistently lower than UK ones even with names removed, because of how people phrase answers[2]. So a returner who hasn't interviewed in years gets marked down on polish and not on ability.

A real piece of work is a fairer test, plain and simple.

The idea

The seed proposed skill assessments to cut hiring bias. That market is crowded, this directory included, so I narrowed it to the one group the CV screen hurts most - returners with five to fifteen years of experience before a break.

An employer posts a real, bounded task, like cleaning up a reconciliation, writing a test plan or drafting a campaign brief. Rejoinly shortlists returners for fit, pays each one a fixed stipend for about two weeks of part-time work, and runs a short refresher on current tools first if needed. Reviewers score the output against a rubric agreed in advance, with names, ages and dates hidden. Only the top scorers' profiles are revealed, and the employer interviews them about the work they just did.

The employer gets evidence instead of a guess. The returner gets paid, a piece of work to show and specific feedback even if they aren't hired. Rejoinly keeps the rubric library and reviewer pool, which get better with each role.

Who pays

The employer pays twice - a per-trial fee that covers stipends, and a placement fee on hire. I found no public figure for returnship budgets in India, so working out the price is part of the sprint. The best first buyers are mid-sized IT services firms, GCCs and finance teams that want returners but lack the HR staff to run a programme like the big IT firms do[1]. Returners never pay.

Why now

Returnship hiring has moved from a few large firms to a broad trend. One staffing major reported in March 2026 that hiring through return-to-work programmes rose 32–35% after the pandemic, and 41% in tech and IT since 2023[3]. The labour codes, in force from November 2025, explicitly prohibit gender discrimination at work[4].

Market signal

There's no public figure for the size of India's returner hiring market. The firmest signal is growth by sector from that staffing report, with GCCs up 39%, banking and financial services 35%, and pharma and healthcare 28%[3]. Those are growth rates and not spend, so treat them as evidence of intent.

Who's already doing this

India's largest careers platform for women sells hiring services to companies[5]. Large IT employers run their own returnships, but only to fill their own roles[1]. General job platforms focus on volume hiring, not on structured trials[6]. What's missing is a neutral, paid, work-first trial that a 300-person firm can buy one role at a time.

How hard is it?

Difficulty Moderate (32/100)
Starting capital ₹35–70 L
Time to launch 4–6 months

The platform is simple. The hard parts are designing tasks that are real without turning into free consulting, and keeping reviewer scoring consistent. You also have to fill both sides at once, which is no easy task - enough returners per role and enough employers posting real openings.

Licences and approvals

No licence needed to run paid work trials. The rules are about fair pay, contracts and candidate data.

  • Labour codes, in force since 21 November 2025, ban gender discrimination and require equal pay. Put every trial stipend on written terms before the first trial[4].
  • Trial agreements must say who owns the output and that it's a sample, not work the employer can ship. Sort this before launch.
  • DPDP Act compliance for candidate data from launch. Give notice and keep identity data away from reviewers[7].
  • GST on employer fees and TDS on stipends paid to individuals. Check both with a CA before you invoice.
  • Baseline: company or LLP registration with the MCA.

Building this outside India? The categories above usually have a local equivalent, so check with your own regulator.

How AI can power this business

  • Shortlisting. Match returners to a trial task on skills and past roles, with dates and gaps hidden so the break doesn't count against them.
  • Task drafting. Help employers turn a vague need into a bounded two-week task with a clear rubric.
  • Refresher plans. Suggest a short catch-up on current tools based on the gap between a returner's last role and the task.
  • Feedback notes. Turn reviewer scores into specific written feedback every returner gets, hired or not.

Don't let AI score the trial work or make the hiring call. The study cited above shows models can mark people down on phrasing, so trained reviewers score against the rubric.

Want to work out the AI layer for Rejoinly? Talk to Yash →

Biggest risks

Here's what can go south -

  • Unpaid-labour optics. If a trial looks like the employer getting free work, returners and the press will call it out.
  • Thin employer demand. Firms may praise the idea but post too few roles to keep returners engaged.
  • Low conversion. If under one in five trials ends in a hire, placement fees will not cover stipends.

Our take

I think this is a good fit for a founder from recruiting or HR operations who can sell to hiring managers directly. If you're hoping to automate the whole thing then look elsewhere. Prove first that ten employers will pay for trials and that at least a quarter of finished trials lead to an offer.

Questions founders ask

Plan for roughly ₹35–70 L, mostly on the platform, reviewers, stipends for early trials and selling to employers.

Do I need a licence to start a career returner hiring business in India?

No sector licence. You need written stipend terms under the labour codes, DPDP-compliant candidate data, GST and TDS on stipends.

Can I start a paid work trial business in another country?

Yes, career-break returners exist everywhere. Check local rules on paying trial workers and on hiring discrimination before you launch.

Download the kit

The free Rejoinly validation kit has the line-by-line capital breakdown, the effort scoring, the stipend and contract checklist, a 14-day validation sprint with pass/fail targets, a 90-day launch plan, 10 interview questions for hiring managers and returners, and 5 assumptions to test. Download the kit →

Talk to Yash

Thinking about building Rejoinly or something close to it? The make-or-break work is writing trial tasks employers trust and returners see as fair pay for real work. If you need a hand, you know where to find me. Talk to Yash →

Sources

  1. CEDA, Ashoka University, "HCL: Returnship programs in India's corporate sector", 2025-05-02. https://ceda.ashoka.edu.in/hcl-returnship-programs-in-indias-corporate-sector
  2. Rao, Venkatesan, Cherubini & Jayagopi, "Invisible Filters: Cultural Bias in Hiring Evaluations Using Large Language Models", AIES 2025, 2025-08-21. https://arxiv.org/abs/2508.16673v1
  3. Storyboard18, "Hiring of mid-career women professionals rises 32–35% post-pandemic: Adecco India", 2026-03-08. https://storyboard18.com/how-it-works/indian-firms-see-35-percent-rise-in-women-hiring-with-returnship-programs-post-covid-91461.htm
  4. SCC Online, "India implements four Labour Codes from 21 Nov 2025", 2025-11-21. https://www.scconline.com/blog/post/2025/11/21/key-phrase-four-labour-codes/
  5. HerKey, official site, accessed 2026-10-21. https://www.herkey.com/
  6. apna, official site, accessed 2026-10-21. https://apna.co/
  7. DPDPA.com, "Section 7: Certain legitimate uses", accessed 2026-10-21. https://www.dpdpa.com/dpdpa2023/chapter-2/section7.html

For illustration only. Names are fictional and ideas hypothetical; sourced facts are real but may be out of date. Nothing here is legal, financial or professional advice, and Yash Khatri is not personally liable for any use of it. Read the full disclaimer.

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