计算机视觉工程师 - 全程远程 | 最高135美元/小时
Computer Vision Engineer - Fully Remote | Upto $135/hr
关于职位
Mercor 将顶尖的创意和技术人才与领先的 AI 研究实验室联系起来。公司总部位于旧金山，我们的投资方包括 Benchmark、General Catalyst、Peter Thiel、Adam D'Angelo、Larry Summers 和 Jack Dorsey。
职位：计算机视觉 ML 工程师
类型：合同制
薪资：135 美元/小时
地点：远程
时长：3–4 周
投入：每周 20+ 小时
岗位职责
- 在代表性图像样本上建立基线模型性能。
- 对保留集进行准确度测量并评估数据质量。
- 评估计算机视觉系统的实际性能上限。
- 将发现转化为面向非技术高管的决策级报告。
- 独立且异步工作以满足截止日期并提升 AI 模型性能。
资格要求
必须具备
- 5 年以上计算机视觉和 ML 工程经验。
- 有从图像中分类或评级实物的经验。
- 在代表性抽样和准确度基准测试方面有扎实的评估能力。
- 能够评估可行性并清晰地向非技术受众沟通。
优先考虑
- 有身份验证、伪造检测或异常检测的经验。
- 有私募股权尽职调查或限时咨询工作的经验。
- 熟悉成像硬件、采集流程以及边缘或本地部署。
薪资与法律
· 按小时计酬的承包商
申请流程（需要 20–30 分钟完成）
- 上传简历
- 基于简历的 AI 面试
- 提交表单
资源与支持
- 有关面试流程和平台信息的详细内容，请查看：
- 如有任何帮助或支持，请联系：
注意：我们团队每天都会审核申请。请完成 AI 面试和申请步骤，以便考虑此机会。
最初发布于 Himalayas
查看英文原文
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Computer Vision MLE
Type:Contract
Compensation:$135/hour
Location:Remote
Duration:3–4 weeks
Commitment:20+ hours/week
Role Responsibilities
- Benchmark baseline model performance on a representative image sample.
- Measure accuracy against a held-out set and assess data quality.
- Evaluate the realistic performance ceiling of the computer vision system.
- Translate findings into a decision-grade report for a non-technical executive audience.
- Work independently and asynchronously to meet deadlines and improve AI model performance.
Qualifications
Must-Have
- 5+ years in computer vision and ML engineering.
- Experience classifying or grading physical objects from images.
- Strong evaluation discipline in representative sampling and accuracy benchmarking.
- Ability to assess feasibility and communicate clearly to a non-technical audience.
Preferred
- Experience with authentication, counterfeit, or anomaly detection.
- Exposure to private equity diligence or time-boxed advisory work.
- Familiarity with imaging hardware, capture pipelines, and edge or on-prem deployment.
Compensation & Legal
· Hourly contractor
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas