Softechub is a global AI data and human in the loop company helping teams train and improve AI models. Free AI Training: https://xitter.cf/t.co/ptvudcehXL

Joined May 2024
Softechub is now an official member of @AfriLabs , Africa鈥檚 largest network of tech, innovation and entrepreneurship! 馃實 We look forward to collaborating to create African-made solutions and opportunities for talent and businesses. #Softechub #AfriLabs
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500+ placements with our partners in 6 months. Every CV is thoroughly reviewed for skills, experience, and role fit before we share candidates. 90+ countries. 70+ languages. Need talent? Let鈥檚 talk. #AIHiring #MultilingualAI
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Applications per job are up 111% since 2022. Recruiter numbers are down 56%, according to Indeed's CEO. We felt it on one project. Over 80% of applicants for an image editing role we recruited for had no image editing background. Many were software developers.
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Someone had to open every one of those applications before a single qualified person got a call. If you hire for AI work: what's the strangest mismatch you've seen in an applicant pile? #AIHiring #DataAnnotation
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"I'm not a tech person." That's okay. Many AI projects need health expertise to review, judge and improve AI outputs. Free training on how it works, Sat Oct 17: forms.gle/qjvuqvCg4rGi6JAJ6 #Health #AI
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One hour, Sat Oct 17: where health professionals fit in AI, what our partners look for, and a live STN signup in under 60 seconds. Free: forms.gle/TFiJRkEw5fe9Ce9r8
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A 馃У 1/6 Annotation quality often starts slipping well before your model shows it. A few signs worth watching:
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4/6 Rare labels quietly disappear from the output. People may be defaulting to the common answer instead of deciding. 5/6 Speed jumps with no change in the task. Faster isn't always better.
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6/6 One study of 57,648 images from four annotation companies found that better labeling instructions improved quality far more than extra QA. Fix the guideline before you add another checker. Source: ECCV 2024 study.
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The right AI training role usually closes before you find it. STN pulls 50+ platforms into one feed, matched to you, with alerts. Sign up in 60 seconds: softechubtalentnetwork.com
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Every health team has that one colleague who catches what everyone else misses. AI companies are looking for them. Tag them. Free training, Sat Oct 17: forms.gle/TFiJRkEw5fe9Ce9r8 #medicalai #freetraining
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馃摚 HEALTH PROFESSIONALS, THIS ONE IS FOR YOU. Your healthcare expertise could take you into medical AI. No coding or AI background needed. Join our free live training on Oct 17, 10 AM WAT, to see what the work looks like and how to get started. Register: link in bio.
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Happy new month from all of us at Softechub 馃挋
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Bootstrapped from Abuja, Nigeria. No VC funding. Global enterprise AI clients. 1M+ human evaluations completed. 25+ annotation & evaluation projects delivered. 10,000+ vetted AI professionals across 79+ countries. We鈥檙e building from Africa for the global AI ecosystem #AI #Data
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Hiring: Social Media & Content Creator Intern Softechub is hiring Nigerian graduates/NYSC members to create content and grow our online presence. 馃煝 Creative & strong writer 馃煝 Social media savvy 馃煝 Strong visual sense 馃煝 Monthly stipend Apply: forms.gle/9vxm4gSZ28huHL1E9 #hiring
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Hiring: Project Manager Intern Softechub is hiring Nigerian graduates/NYSC members to support live AI projects. 馃煝 Organized & clear communicator 馃煝 Hands-on experience 馃煝 Monthly stipend Apply: forms.gle/PnXgZpbjdHwwktYS6 #Hiring #Internship
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URGENT: We鈥檙e Hiring 馃煝 Senior Illustrator / Character Sketch Artist 馃煝 Senior Image Editor / Photo Retoucher 40 hrs/week | 8 weeks | Pay per task | All locations 3+ years experience required. Human-made work only. No AI-generated work. lnkd.in/eNJzW-B3 #Hiring #Illustration #Photoshop #AITraining
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馃У "We deliver 95% accuracy." Every annotation vendor says this. But what does that number actually mean? Here is what accuracy looks like across different task types, from our data on 25+ projects 馃憞馃従
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The number that matters more than any metric: consistency across annotators. A project can average 93% accuracy while annotators differ by 15+ points on edge cases. If your vendor only reports accuracy, you鈥檙e getting half the picture. 馃憞馃従
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The right question is not "what accuracy will you deliver?" It is "what process do you run when accuracy drops below target?" That answer tells you everything.
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