Company

TeksystemsSee more

addressAddressPalo Alto, CA
type Form of workContractor
CategoryInformation Technology

Job description

Description:

To submit: legal first/last name, MM/DD, Rate, Email, Resume (no contact details/TEK logo), and time stamped email giving TEK the right to represent them for the role.

Please have your candidate complete the pre-screening assessment: https://forms.office.com/Pages/ResponsePage.aspx?id=DQSIkWdsW0yxEjajBLZtrQAAAAAAAAAAAAN__lOEgh9UMU1PNlVTTTVJRzM4VllJTzBPWjdJMzJUMS4u

They should enter their full name. Part of the assessment includes a typing test conducted through Typing.com. They’ll be asked to copy and paste the shareable certificate URL, which will require them to create an account for Typing.com.

Data Annotation Specialist (x4)

9+ month contract

Location: Hybrid, onsite 3x/week, 181 Lytton Ave, Palo Alto, CA 94301.

Hours: 9am-5:00pm PST

Day to day: This person will be utilizing an in-house tool to train Large Language Models (LLMs). Reading and analyzing large volumes of textual data, and annotating them in accordance with the guidelines. Must do this accurately and to high quality. Example: the textual data may be a call transcript between a seller and an agent, this person will analyze the text and extract information based off of the guidelines, and ensure that it’s accurate. Important to have a strong understanding of language and grammar.

Must have skills:

• Problem solving

• Attention to detail

• Highly adaptive

• Minimum 40 wps typing speed

• Strong reading comprehension and writing skills, with the ability to understand and interpret complex and diverse texts.

• Soft skills: good communication skills, ability to manage time effectively, take feedback, collaborate

Teachable skills/Optional skills:

• Prior Data Annotation experience

• Experience with Large Language Modeling (LLM) labeling

• AI, Machine Learning

Responsibilities:

• Accurately label machine learning data through various methods to refine AI models. This will primarily involve annotating large volumes of textual data according to predefined guidelines.

• Collaborate with team members to identify improvements to the labeling interface or labeling processes in order to drive efficiency and high-quality.

• Complete assignments by deadlines while meeting team expectations and goals.

Required Skills/Experience

• Bachelor’s degree

• Proficiency in reading comprehension and possessive of strong writing skills, with the ability to understand and interpret complex and diverse texts.

• Ability to work independently, follow instructions, manage time effectively, and meet deadlines in a dynamic and fast-paced environment.

• Ability to manage ambiguity, uncertainty, and changing priorities with limited resources.

• Ability to accept and integrate continuous feedback while remaining professional.

• Excellent verbal and written communication skills and the ability to collaborate within a multi-disciplinary team.

• Quick learner and self-starter with strong problem-solving skills.

Interview Process:

• Pre-Screening Assessment (15 mins)

• 1st round with the hiring manager, which includes a Summarization Assessment

• 2nd and 3rd rounds with the Director and Researcher depending on availability. May be combined into the same time block.

Additional Skills & Qualifications:

Must Have

Clerical

Typing : -1 (0 - No Familiarity) of 5 (5 - Expert)

Typing 30 wpm : No

English

Conversation level : -1 (0 - No Familiarity) of 5 (5 - Expert)and 0 years

Reading level : -1 (0 - No Familiarity) of 5 (5 - Expert)and 0 years

Nice to Have

Clerical

Data comparison : -1 (0 - No Familiarity) of 5 (5 - Expert)

Data entry : -1 (0 - No Familiarity) of 5 (5 - Expert)

Data Maintenance : -1 (0 - No Familiarity) of 5 (5 - Expert)

Data sorting : -1 (0 - No Familiarity) of 5 (5 - Expert)

Data Verification : -1 (0 - No Familiarity) of 5 (5 - Expert)

Document Validating : -1 (0 - No Familiarity) of 5 (5 - Expert)

Proofreading : -1 (0 - No Familiarity) of 5 (5 - Expert)

Typing 60 wpm : No

Productivity Software

Microsoft Office : -1 (0 - No Familiarity) of 5 (5 - Expert)and 0 years

About TEKsystems:

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

Refer code: 8861855. Teksystems - The previous day - 2024-04-03 12:20

Teksystems

Palo Alto, CA
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