Review

You've submitted fifty applications and received two automated rejections and forty-eight black holes of silence. Your resume has the keywords—you're qualified—but the ATS filtered you out for formatting, or a recruiter spent six seconds scanning before moving on. You're competing against hundreds of applicants for each role, knowing that even strong candidates get lost in volume. The job search process feels like shouting into a void. Job boards have devolved into quantity-over-quality nightmares. LinkedIn's 'Easy Apply' means every posting gets buried under hundreds of low-effort applications. Recruiters use keyword matching that misses context—you've done the work, just not with the exact buzzwords. Internal referrals still dominate hiring, leaving outsiders playing a rigged game. The 'skills gap' companies complain about is often a discovery gap: qualified people exist, the matching mechanisms just fail. For remote work specifically, the signal-to-noise ratio is worse. Legitimate opportunities mix with scams, 'remote-friendly' means 'occasionally' for most companies, and compensation ranges span $50K for identical roles. Remote job boards aggregate listings without verification. You're left manually researching each company, wondering if the posting is even real. Mercor inverts this dynamic using AI that evaluates candidates holistically—skills, experience, work samples, interview performance—then surfaces matches to companies actively hiring for your profile. You're not competing against 500 applicants; you're being presented as a curated match to companies that fit your background. The platform specializes in technical roles: software engineering, data science, ML, product, design. Complete a profile, verify your skills through assessments or portfolio review, and let the matching work. Mercor handles contracts and payments for freelance engagements. The AI improves matching over time based on successful placements. If traditional job search has burned you out, this is a different approach—being found instead of endlessly applying.