Transcription & Data Labeling Part-time Position (CHINESE)

Key Skills

Aartificial intelligence, Data science techniques, DevOps, Effective communication skills, Machine learning techniques, Transcriptomics, typing

Job Description

At Gong we are building new-generation, machine learning based software that automates big parts of customer-facing roles by “understanding” their conversations and related work.

As a key ingredient of our technology is labeled data that drives our AI based algorithms, we are looking for someone to take on data annotation, transcription and validation tasks to support our Data Science team.

Requirements:

Native in spoken/written Chinese

Exceptional listening, grammar, and typing skills

Meticulous and detail-oriented

Able to maintain sharp focus, even on repetitive tasks

Flexibility

Contractor - invoice is required

Remote work

4 to 6 months project

Responsibilities:

Annotate and label audio data using various internal software programs

Transcribe audio files into text

Use advanced audio tools to label and categorize sound instances

Label, tag and categorize large audio and text data-sets

Review data for quality assurance on labels and transcripts

What makes the DevOps team at Gong unique?

Here at Gong, we trust and empower our employees with ownership to solve complex problems, make the right decisions, and build the best products that create radical impact. We call this “Own. Solve. Impact.” 

About us 

Gong unlocks reality to help people and companies reach their full potential. The patented Gong Reality Platform™ empowers companies to take advantage of their most valuable assets – customer interactions, which the Gong platform automatically captures and analyzes. Gong then delivers insights at scale, empowering revenue and go-to-market teams to determine the best actions for winning outcomes.

Here at Gong, we encourage our employees to express their personality and identity (whether gender, ethnic, religious, or sexual), and we ensure fairness and equal opportunities. We follow a hybrid working model that combines working from home, on the go, or at the office. This allows us: flexibility, autonomy, positive work relationships, and effective work habits.

If these considerations are important to you when choosing a work place, we'd love to see you with us.