职位 Tesla

Tesla

Accelerating the world's transition to sustainable energy.

Paint Prepper

职能制造

级别中级

地点Langhorne, Pennsylvania, United States

方式现场办公

类型全职

发布今天

立即申请

必备技能

Rust

What To Expect
The Tesla Collision Repair Program is looking for a Collision Shop Paint Prepper to work on one of the most progressive vehicle brands in the world. This position will involve supporting the Tesla Collision Repair Program in all aspects.

What You'll Do

Remove grease, dirt, paint, or rust from vehicle surfaces in preparation for paint application, using abrasives, solvents, brushes, blowtorches, washing tanks, or sandblasters

Assist painter in pre-paint blending needs

Work with paint team to assist in keeping vehicle on track for scheduled delivery time

Fill small dents or scratches with body fillers and smooth surfaces to prepare vehicles for painting

Buff and wax the finished paintwork

Disassemble, clean, and reassemble sprayers and power equipment, using solvents, wire brushes, and cloths for cleaning duties

Detail vehicles ready for delivery to customers

What You'll Bring

Prior experience in vehicle paint process 

Occasionally exposed to hot, cold, wet or humid conditions 

Ability to receive directions and work well with others 

Ability to lift up to 50 pounds 

Paint correction or polishing experience preferred

Valid Class 5, G, or G2 driver’s license for Canada

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关于Tesla

Tesla

Public

A financial leasing taxi company that provides vehicles to customers

140,000+

员工数

Ciudad De Panamá

总部位置

$800B

企业估值

评价

10条评价

3.8

10条评价

工作生活平衡

2.3

薪酬

4.0

企业文化

3.2

职业发展

4.1

管理层

2.8

65%

推荐率

优点

Innovative projects and cutting-edge technology

Great team and supportive colleagues

Good compensation and benefits

缺点

Long hours and poor work-life balance

High pressure and tight deadlines

Management issues and high expectations

薪资范围

1,403个数据点

Junior/L3

Mid/L4

Junior/L3 · Associate Analyst

2份报告

$94,875

年薪总额

基本工资

$82,500

股票

奖金

$92,000

$97,750

面试评价

4条评价

难度

3.5

/ 5

时长

14-28周

体验

正面 0%

中性 75%

负面 25%

面试流程

Application Review

Recruiter Screen

Technical Phone Screen

Take-home Assignment

Panel Interview

Offer

常见问题

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Machine Learning Concepts