Java programming Jobs in Rochester, NY
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Java programming • rochester ny
Last updated: 12 days ago
Location : • • Remote • •(must have access to a physical Mac) • • • •Fluent Language Skills Required : • • English • •Why This Role Exists • • Mercor is supporting a high-priority data collection initiative aim...Show moreLast updated: 12 days ago
As a Senior Java Engineer, you will work remotely on an hourly paid basis to review AI-generated Java code, architectural solutions, and technical explanations, as well as generate high-quality ref...Show moreLast updated: 27 days ago
Leetcode Problems! —Still No Offers? Let's Get You Offers with SynergisticIT.You've racked up certificates, aced LeetCode challenges, and you know your way around system design like the back of you...Show moreLast updated: 30+ days ago
Java Architect Job Duties : Achieves e-commerce information architecture operational obj...Show moreLast updated: 30+ days ago
Remote Software Expert (Development & Programming) - AI Trainer ($0-$65 per hour)
MercorRochester, New York, USRemote
Full-time
Remote Senior Java Engineer - AI Trainer
SuperAnnotateNorth Gates, New York, USRemote
Full-time
jr backend java spring boot developer / Data analyst
SynergisticITRochester, NY, USFull-time
- Promoted
Java Architect
TradeJobsWorkForce14603 Rochester, NY, USFull-time
- oncology pharmacist (from $ 135,200 to $ 487,040 year)
- business development associate (from $ 37,000 to $ 334,880 year)
- informatics nurse (from $ 186,665 to $ 315,680 year)
- genetic counselor (from $ 111,387 to $ 288,960 year)
- data modeler (from $ 97,500 to $ 264,702 year)
- clinical specialist (from $ 78,750 to $ 244,400 year)
- medical social worker (from $ 156,000 to $ 221,296 year)
- healthcare (from $ 56,550 to $ 210,300 year)
- design director (from $ 89,750 to $ 195,000 year)
The average salary range is between $ 90,000 and $ 162,565 year , with the average salary hovering around $ 120,938 year .
Remote Software Expert (Development & Programming) - AI Trainer ($0-$65 per hour)
MercorRochester, New York, US12 days ago
Job type
- Full-time
- Remote
Job descriptionLocation : Remote (must have access to a physical Mac) Fluent Language Skills Required : English Why This Role Exists Mercor is supporting a high-priority data collection initiative aimed at improving how AI systems understand complex software interfaces and real-world, multi-step workflows. Current datasets lack the fidelity and expert grounding needed to reflect authentic professional software usage. This project addresses that gap by collecting high-quality screen annotations and screen recordings performed by experienced domain experts working in real digital environments. What You’ll Do Depending on the task phase, you may be asked to complete one or both of the following : - Record screen sessions demonstrating specific tasks, accompanied by clear verbal narration explaining each step - Annotate screenshots of professional software by drawing precise bounding boxes around relevant UI elements - Follow provided staging instructions to set up specific UI states prior to recording - Use a custom capture tool to record workflows accurately and consistently - Adhere closely to task guidelines to ensure data quality and usability Who You Are You have strong familiarity with professional software tools used in your domain including : - Visual Studio Code - Android Studio - Quartus - VMware - You are detail-oriented and capable of following precise instructions - You are comfortable working independently and meeting tight deadlines - You have access to a physical Mac and can create a fresh macOS user profile if required Nice-to-Have Prior experience with data collection, annotation, or QA work - Experience recording or documenting workflows - Comfort working with new tools and staged environments What Success Looks Like Screen annotations are precise, consistent, and aligned with guidelines - Screen recordings accurately capture realistic, expert workflows - Tasks are completed efficiently while maintaining high quality - Collected data is usable at scale for downstream AI research and development We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.