Job Description:
Company Name | Amazon |
Position | ML Data Associate |
Qualifications | B.E/B.Tech/Any Degree |
Experience | 0 – 2 Years |
Location | Chennai |
CTC | Upto 2 – 2.5 LPA(Exp) |
Role & responsibilities:
- • Work with a range of text, speech and other types of data.
- • Deliver high-quality labelled data, using guidelines provided to meet our KPIs, and using
- in-house tools and software.
- • Report issues with tools and software as and when they occur.
- • Show Ownership and initiative when providing feedback for improvements to existing
- tooling that can increase the amount and quality of the data we process – we believe every
- ground-breaking change starts with a small idea!
- • Maintain strict confidentiality and follow all applicable Amazon policies for securing
- confidential information.
A day in the life
- We are looking for a Data Associate (DA) to undertake the task of foundational labelling
- functions, such as dialogue evaluation on speech & text data, to assess and improve Alexas performance in everyday situations.
- To effectively change the world, you need to be a bit different – your adaptability, focus, and attention to detail in a constantly shifting environment are unparalleled; you pride yourself on your ability to recognize issues – and come up with elegant and innovative solutions. You will be a part of a diverse team with the shared vision to make huge strides in the world of technology and the way we use Artificial Intelligence. So, an inner drive, individuality, and a creative mind are extremely beneficial.
About the team
- The Alexa Data Services (ADS) organization provides data creation, curation, and analytics
- services to help develop, test, and train the Alexa AI. We work closely with Amazon
- Machine Learning (ML) Science and modelling teams, providing the critical data they need
- to improve Alexa’s speech recognition and language understanding capabilities.
Basic qualifications
- • A graduate in any field of study. Quantitative fields such as science and engineering are preferred but not mandatory
- • Good familiarity with the Windows desktop environment and use of Word, Excel, IE, Firefox etc. are required
Preferred Qualifications:
- Good familiarity with the Windows desktop environment and use of Word, Excel, IE, Firefox etc. are required
- Flexibility and Interest to do repetitive tasks is required
- High level of energy and proactive nature. A sense of ownership and drive and a willingness to accept the challenge of daily deadlines is essential
Note: Please ignore if you have already attended the assessment/interview for the same role in the last 6 months.
Walk In Time and Venue
- 14th November – 15th November
- 9.30 AM – 12.00 PM onwards
- Amazon Development Centre India Pvt Ltd, Infinity Towers, Ramanujan IT City, Rajiv Gandhi Salai, Near Tidal Park, Old Mahabalipuram Rd, Taramani, Chennai, Tamil Nadu – 600113.
- Google Maps Link: https://goo.gl/maps/Ttxta3ed9CuE7xwD6
Instructions To Be Followed Before Applying for the Job:
- Review the Job Description: Carefully read through the job description to understand the role, responsibilities, and requirements. Make sure that you have a clear understanding of what position you are applying.
- Crosscheck Your Skills: Compare the skills listed in the job posted description with your skill set. Evaluate whether you possess the necessary technical and non-technical skills for the mentioned role. Highlight your strengths and identify any areas that may need improvements.
- Check Eligibility Criteria: Verify if you meet the criteria as mentioned in the job posting, such as your educational qualifications, work experience, or relevant certifications. Ensure you fulfill the basic requirements before proceeding further.
- Customize your resume and Cover Letter: Align your resume with the specific requirements mentioned in the job description. Highlight relevant experiences and skills that make you a strong fit for the role.
- Research about the Company: Take some time to research the company that you are applying to. Understand the vision, culture, mission, and services they offer. This knowledge will make you tailor your application and tell you that you’re interested in the company.
Resume Do’s:
- Clearly highlight your contact information, including your name, number, email address, and LinkedIn profile(if applicable). Make sure that mentioned details are easily visible at the top of your resume.
- Generate a concise professional summary or objective statement that effectively presents your career objectives while emphasizing your pertinent skills and experiences.
- Include any relevant work experience, internships, or projects, focused on your accomplishments and responsibilities.
- Highlight your technical skills, programming, tools, and software that are relevant to the job you’re applying for.
- Provide a comprehensive overview of your educational background, encompassing the institution’s name, the degree obtained, the major of study, and the date of graduation.
- Mention any certifications, training programs, or workshops that you have completed for the position(if any).
- Use bullet points to organize information and make it easy to read. Keep sentences concise and use specific examples to concise your skills.
Resume Don’ts:
- Avoid including unnecessary information such as your marital status, gender, and dob. Focus on professional and job-related details.
- Don’t provide false information. Be honest about your skills, as employers may verify the information that you provided during the hiring process.
- Don’t use a generic resume for all job applications. Take the time to customize your resume for each position to highlight your skills.
- Avoid including references directly on your resume. Perhaps, provide a separate reference page if requested by the employer
- Avoid using long paragraphs. Instead, use bullet points and concise sentences to make your resume more readable.
- Remember, a well-arranged resume should be concise and focused on showcasing your relevant skills, and qualifications to make a strong impression on potential employers.
Click the below link to apply for Amazon
Apply Now
Join Our Below Social Media Platforms
Atlassian Atlassian Atlassian Atlassian Atlassian Atlassian Atlassian Atlassian
Amazon Amazon Amazon Amazon Amazon Amazon Amazon