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Past "Transcription" Projects
ML - Data labeling for sales call transcripts and content
We are launching a new software application product that will use the latest advances in conversational intelligence to help business drive sales to closure, recruit better talent, and enhance product features through market research interviews. We are looking for part time Data Labelers to help build an NLP topic processing solution for recorded sales, meeting, and market research calls. Recordings and transcripts will be provided for accurate data labeling. As a Data Labeler, you will help label training data to feed machine learning algorithms. Total expected time commitment is 20-40 hours per week for 3 weeks. You will be expected to gain basic machine learning knowledge to better understand how the labels are used by our learning algorithms, as this will allow you to make more judgement calls on difficult edge cases that might come up during labeling. We are using an automated data labeling tool. We have good training and instructions to provide direction. You can set your own schedule as long as the hours fall between 8am - 6pm PDT for occasional meetings on progress and questions. • Demonstrate a strong sense of ownership, urgency, and drive to complete tasks on time • Ability to stay focused, minimize distractions, and concentrate on the task at hand • Work independently, cooperatively, or collaboratively as needed for each task • Demonstrate excellent oral and written communication skills • You are a friendly, easy-going and enthusiastic person • You are very detail-oriented, patient, and patient can follow complex instructions to interpret data consistently • College diploma or evidence of exceptional ability with understanding of language and meaning. • Fluent written and spoken English, with the ability to interpret cultural context when reading a written passage or conversation transcript • You can create and store quotes in word docs, spreadsheets or easy to use data labeling web application • You can work in a fast-paced environment • Familiarity with Sales, business meetings and product market research questions is a bonus Experience: No prior experience required. Work from anywhere, internet access required.
Data Labeling for Sales Calls and Product Interviews
We are launching a new software application product that will use the latest advances in conversational intelligence to help business drive sales to closure, recruit better talent, and enhance product features through market research interviews. We are looking for part time Data Labelers to help build an NLP topic processing solution for recorded sales, meeting, and market research calls. Recordings and transcripts will be provided for accurate data labeling. As a Data Labeler, you will help label training data to feed machine learning algorithms. Total expected time commitment is 20-40 hours per week for 3 weeks. You will be expected to gain basic machine learning knowledge to better understand how the labels are used by our learning algorithms, as this will allow you to make more judgement calls on difficult edge cases that might come up during labeling. We are using an automated data labeling tool. We have good training and instructions to provide direction. You can set your own schedule as long as the hours fall between 8am - 6pm PDT for occasional meetings on progress and questions. • Demonstrate a strong sense of ownership, urgency, and drive to complete tasks on time • Ability to stay focused, minimize distractions, and concentrate on the task at hand • Work independently, cooperatively, or collaboratively as needed for each task • Demonstrate excellent oral and written communication skills • You are a friendly, easy-going and enthusiastic person • You are very detail-oriented, patient, and patient can follow complex instructions to interpret data consistently • College diploma or evidence of exceptional ability with understanding of language and meaning. • Fluent written and spoken English, with the ability to interpret cultural context when reading a written passage or conversation transcript • You can create and store quotes in word docs, spreadsheets or easy to use data labeling web application • You can work in a fast-paced environment • Familiarity with Sales, business meetings and product market research questions is a bonus Experience: No prior experience required. Work from anywhere, internet access required.