CloudFactory
Real Estate
CloudFactory offers scalable AI consulting and solutions with expert data labeling, annotation, and model monitoring to ensure reliable, high-quality AI results.
CloudFactory은(는) 채용 중인가요?
네. 2026년 10월 9일 기준으로 Metaintro에 CloudFactory의 공개 포지션이 216 개 있습니다. 최근 30일 동안 23 개가 게시되었습니다.
채용 중인 포지션
최신순. 공고에 급여가 기재된 경우 표시합니다.
- Construction Reality Capture Technician (Oslo, Norway)건축 및 건설Oslo · 사무실 출근Oslo사무실 출근—4일 전
- Client Principal - AI Consulting (Energy, Oil & Gas)사업 개발Reading · 하이브리드Reading하이브리드—8일 전
- Malay / Tamil Voice Talent - Speech Data Collection Project인공지능/머신러닝원격—원격—15일 전
- Client Principal - AI Consulting (Energy, Oil & Gas)사업 개발원격—원격—15일 전
- MLOps Support EngineerDevOpsKathmandu · 원격Kathmandu원격—16일 전
- MLOps Support EngineerDevOpsMedellín · 원격Medellín원격—16일 전
- Commercial Roofing Expert - Drone Imagery & AI Quality Review건축 및 건설Fort Worth · 원격Fort Worth원격—16일 전
- Commercial Roofing Expert - Drone Imagery & AI Quality Review건축 및 건설Florida · 원격Florida원격—16일 전
채용 패턴
CloudFactory의 포지션 증가 속도와 근무 형태.
월별 신규 포지션해당 월에 처음 게시된 포지션
포지션별 근무 형태채용 중인 포지션 중 비율
고객
CloudFactory의 고객으로 언급된 회사 28곳 전체.
고객 사례16
- HHummingbird technologies
- Matterport
- Llinevision
- Oocuvera
- Compound Eye

- TTractor Zoom
- SScholars App
- PPathr.ai
- HHeretik
- GGeckomatics
- GGameChanger
- CCharles River Analytics
- FFestiVote
- BBizly
- AAllvision
- AAMP Robotics
기타 고객사6
- TTrue Lark
- LLuminar
- EExpensify
- AActiv surgical
- DDeepcell
- DDriver Technologies
고객의 목소리
CloudFactory 고객사 관계자들의 이야기.
“If you need a customized solution, go for CloudFactory.”
“In two months, we've labeled an area nearly 25 times larger than London. It would have taken me 500 hours to annotate that dataset. If you need a customized solution, go for CloudFactory.”
““We’ve hit on a working relationship that is sustainable. There is this intense commitment, on CloudFactory’s part, to making it work. We had a couple of situations where I wasn’t sure something was doable, but CloudFactory made it possible. That’s cool.””
““I have a partner that I can go to for scaling up my labeling efforts. I can churn out new models because I can get the data prepared quickly.””
““It’s hard for a company like ours to build and scale teams for large data annotation tasks. Especially because there can be significant churn in that workforce. People leave because the task is repetitive and it is hard to keep these teams motivated. It is much easier with CloudFactory.’’”
후기 25건 더 보기간단히 보기
““The models we have in production today would’ve taken us much longer to build on our own and would’ve required more upfront costs,” says Lwowski. “I don’t think there was a faster way to get the data labeled with the quality we needed—and within the time we needed.””
““We didn’t have to constantly QA the results or update our instructions,” says Lwowski. “They took a hands-on approach and did most of the work for us.””
“The ROI was huge. Without CloudFactory, mistakes would’ve been delivered to clients, and those mistakes would’ve cost them massive amounts of money. Our risk of missing anomalies went down. Our risk of unhappy customers also went down.”
“We have been through a full production cycle of data sent through CloudFactory. We’ve fed that back into our model, trained it, deployed it and seen much, much better results and model accuracy.’’”
“It’s easy to discount how hard it is to find people that are good, affordable, consistent and reliable. It’s hard to hire for that, but CloudFactory has it figured out. Not only is it way less expensive than if we did it ourselves, it just takes so much pain off our plate.’’”
“CloudFactory is not just the catalyst but the support to help us refocus on our vision. That is a cool story.”
“The CloudFactory team can support any big customer use cases that might come up, as opposed to trying to come up with a mechanism for scaling up some other service ourselves.”
“The team’s output has almost outpaced our ability to keep them fed with data. It’s making us look at what else we can do.”
“When I heard about CloudFactory, it seemed like a perfect fit because of the dedicated workforce,”
“Working with CloudFactory has definitely freed up a lot of time for all of us and made me have to worry less about the quality of annotations. Now we can get a lot more done and move a lot faster in progressing with our public releases. CloudFactory created an experience that fit our company’s business model.”
“We hit our product release deadline, and that’s in part thanks to the work CloudFactory’s team has put in over the last year.”
“We wouldn't have been able to handle this volume of data if we didn’t have a partner like CloudFactory that could scale with us.”
“It really feels good to partner with you guys.”
“By far, CloudFactory has the best quality in terms of data entry. And our success manager is very energetic and helpful,” Watase says. “I don’t have to continuously look over someone's shoulder so I can focus on other parts of my business. Without CloudFactory, I’d probably be going through multiple data entry companies trying to find one that I could trust.’’”
“When people ask about CloudFactory, I think I just give a one liner: I’ve never had better quality data.”
“You give us the ability to maintain accurate analytics at scale, which in turn helps our customers. It’s the biggest competitive advantage CloudFactory gives us.”
“It’s been a game-changer. If we sign a deal with an enterprise customer and need to deploy into hundreds, if not thousands, of locations, CloudFactory scales up right away based on the number of hours we need.”
“We have this entire camera calibration step that’s custom to us. We also have custom annotations for event detection. CloudFactory was able to step in and train themselves. The ability to maintain accurate analytics at scale is really the biggest competitive advantage that CloudFactory offers us.”
“We’re able to service large, multi-location enterprises because of our partnership with CloudFactory. We wouldn’t have been able to scale the company and deploy spatial intelligence without that help, and we wouldn’t be where we are now.”
“This dataset was manually annotated with the help of CloudFactory,” says Sjögren. “It’s about 20 times larger than the second-largest dataset in this domain. The project took CloudFactory six months. Using in-house resources, it would have taken us several years to finalize.”
“Dataloop makes it easy for us to share annotations and cross check with key scientists,” she says. “The services and resources provided by CloudFactory enable us to be certain that we’re happy with the work.”
“The frequent feedback conversations and short iteration cycles are useful in getting the annotation we want.”
“When my mom is in the hospital, I make sure she is on Ocuvera.”
“Ocuvera has virtually eliminated our unassisted falls from the bed.”
“Ocuvera is the biggest game changer that I’ve seen for fall reduction because it’s effective and I don’t have to worry about staffing.”
AI 출시 및 파트너
CloudFactory의 AI 출시 현황과 AI 협업 파트너.
- 출시AI-assisted annotation modelsAI-assisted annotation models adapt to customer data and improve at predicting labels for image classification, object detection, instance segmentation, and semantic segmentation.
- 출시Model Monitoring & OversightCloudFactory offers an API toolkit that provides on-demand human support for AI model monitoring and supports monitoring computer vision models against human-verified ground truth.
- 출시AI lifecycle servicesCloudFactory helps businesses develop, deploy, and operate reliable, trustworthy AI, and helps clients deploy, monitor, and evolve AI systems.
- 출시AI-Powered AutomationCloudFactory offers automation that adapts to customers’ AI initiatives and use case needs.
요구하는 기술
채용 중인 공고에서 가장 자주 등장하는 기술.
가장 많이 요구되는 기술
- Communication
- Python
- Reality capture
- 360° cameras
- Problem solving
- Surveying equipment
- Distributed systems
- Site documentation
- Go
- Physical stamina
- PPE compliance
- 360-degree cameras
기술 스택
- 마케팅
- HubSpot
- 라이브러리
- Bootstrap
- jQuery
- Font Awesome
- CDN
- cdnjs
- Cloudflare
- 분석
- Google Tag Manager
- CMS
- HubSpot CMS
회사 정보
- 본사 소재지
- Antwerpen, Belgium
- 직원 수
- 1–10
- 설립
- 2010
- 산업
- Real Estate
- 업종(NAICS)
- 정보통신업
- 유사 기업
- Redfin
- 웹사이트
- cloudfactory.com
- 채용 페이지
- cloudfactory.com/careers
지역별 포지션
CloudFactory의 채용 지역입니다. 도시를 선택하면 해당 포지션을 볼 수 있습니다.
유사 기업
CloudFactory와(과) 같은 업계에서 현재 채용 중인 기업입니다.
CloudFactory에 관한 질문
- CloudFactory은(는) 채용 중인가요?
- 네. 2026년 10월 9일 기준으로 Metaintro에 CloudFactory의 공개 포지션이 216 개 있습니다. 최근 30일 동안 23 개가 게시되었습니다. 가장 많은 팀은 Architecture and Construction (41), Developer (27) 및 Transportation and Logistics (25)입니다.
- CloudFactory의 채용 지역은 어디인가요?
- CloudFactory의 채용 지역은 Nairobi County, Kenya, United States, Berlin, Costa Rica, Kathmandu 및 London이며, 채용 중인 포지션이 가장 많은 곳은 Nairobi County, Kenya입니다.
- CloudFactory에서는 원격 또는 하이브리드 근무가 가능한가요?
- 채용 중인 포지션 중 6%는 하이브리드, 46%는 원격입니다.
- CloudFactory의 고객은 누구인가요?
- CloudFactory에서 고객으로 언급한 곳은 sartorius, ibotta, Nearmap, Zyte 및 Zeitview 등 28곳입니다.
- CloudFactory에서는 어떤 기술을 찾나요?
- 채용 중인 포지션에서 가장 자주 요구하는 기술은 Communication, Python, Reality capture, 360° cameras 및 Problem solving입니다.

