Data Labeler
4 days ago
Landing a construction project on schedule and on budget is a herculean task
- different teams, different designs, every single time. With hundreds of thousands of variables changing everyday, optimizing construction outcomes has become a massive challenge.
Doxel is here to change that.
Doxel is an AI Powered Project Controls solution. By contextualizing vast amounts of disparate project data across site, BIM, schedule, and budget, Doxel empowers teams with an objective view of their project today and an accurate prediction of where it will be tomorrow. Leveraging machine generated and prioritized risk analysis, teams are guided to the right problems in order to stay ahead of cost overruns and schedule delays.
Backed by Insight Partners and Andreessen Horowitz and with a growing team of technologists, creatives, and industry veterans, we’re focused on helping customers realize the best outcomes on their construction projects.
**The Role**
You will be working to verify the quality of our Machine Learning algorithms. Your work directly impacts cutting edge technology development. We will provide you with the necessary hardware, and the training necessary for the role.
**Responsibilities**:
- Work within the a user interface to analyze and label complex blueprint style documentation
- Must be able to accurately analyze complex visuals
- Must be a fast learner, technically competent, and demonstrate ability to drive great results
- Work within a highly collaborative team environment
**Qualifications**:
- 1+ year of experience in an analytical role where attention to detail is of utmost importance
- Proficiency working with spreadsheets, either Microsoft Excel, Google Sheets, or similar
- Solid interpersonal and communication skills are a must
**Preferred Qualifications**:
- Programming experience would be a big plus
- Prior experience on a construction site and familiarity with a laser scanner would also be helpful
Doxel is an equal opportunity employer and actively seeks diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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