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Buildforce: Construction Jobs

Buildforce: Construction Jobs

Buildforce

Business免费v4.30
App Store
评分

4.9

365 条评分

星级

★★★★★

最近更新

2026年4月30日

发布日期

2020年5月8日

更新内容

v4.30

A few small improvements and fixes to make your experience in the field even better.

应用信息

开发者
Buildforce
分类
Business
价格
免费
版本
4.30
App ID
1503007387

简介

The Buildforce app is designed to ensure electricians always know about high-paying jobs that match their skills and location. We know that lining up your next job can be difficult but once you become a part of the Buildforce network, we will work together to help you navigate finding your next job. We take the time to meet with you and ensure you have the skills necessary to get the job done. With Buildforce’s app in the palm of your hand, quickly access and easily manage: - Pay: Easily access your paycheck information in the Buildforce app. Maintain your W-2 and direct deposit account information all in one spot, eliminating the need for multiple log-ins and passwords to access your pay information. - Jobs: We gather jobs from the top construction sub-contractors and self-performing general contractors from across America in one job board. We make sure that you’re notified of jobs that are the perfect fit for you. Job postings include vital information such as pay range, start day and time, and project location so you know what to expect before your first day. Buildforce's job board is continually updated with open electrical positions and can be easily applied for with a tap of one mobile button. - Personalized Electrician Profile: Build your electrician profile to include your certifications, licenses, work history, and skills. A Buildforce team will confirm your profile information, making you part of the elite Buildforce community and giving you the power to find your next job. We take your feedback seriously, so feel free to contact us anytime within the mobile app!

下载量预测

专业 · 预览

预估总下载量

49K37K73K
保守估计乐观估计

500

低 / 月

667

预估 / 月

1K

高 / 月

基于365 条评分
假设评分率0.8%
应用年龄73 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。