Data Annotation Job Circular
Data Annotation Job Circular has recently been published. According to the job circular, they will recruit Data Annotation in their organization. In this article, we have covered everything about the Data Annotation job circular.
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Data Annotation Job Details
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About the post of Data Annotation
Hindustan Recruitment recruits people regularly in their organization. The post name of the job is important before applying. Here we have listed the post name(s) of job. We recommend you to check again the job post name. Post name should be chosen according to your passion Ask yourself, What is your passion? after that you should go through for the rest of application procedure.
Educational Qualifications and Experiences
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Salary Range
The salary range is specified by post name and other factors like company policy. For this post the salary range is 500000 to 500000 INR.
Data Annotation Job Details
For your help, we have divided the job circular in some of the criteria. The first section is decorated with company details and the last section is with the job details.
Organization Details
Here is the details overview of the hiring organization. We have collected it from Careerjet. Check the table below.
| Organization Name | Hindustan Recruitment |
|---|---|
| Organization Address | Noida, Uttar Pradesh |
| Circular Published Date | 14/10/2024 |
| Last Date of Application | Not mentioned in the Source |
Job Details
Here are the job details of the Data Annotation Job Circular. Here we have included the vacancy, salary range, job location, and other informations related the this job.
| Job Title | Data Annotation |
|---|---|
| Job Type | Full time |
| Job Category | Described in the Job Description below |
| No. of Vacancy | Mentioned in the Job Description below |
| Salary Range (INR) | 500000 to 500000 |
| Expected Salary (INR) | Rs.500000 per year |
| Job Location | Noida, Uttar Pradesh |
| Age Limit for job | Not mentioned but follow the Job Description below , maybe you can find something about Age Limitations |
| Gender | Not mentioned but follow the Job Description below , maybe you can find something about gender |
| Application Fee | Online Application |
The mighty Job Description of Data Annotation Job Circular
Job Summary:We are looking for a meticulous Data Annotation Specialist to join our team and contribute to building high-quality datasets for machine learning models. The role involves labeling data (text, image, video, audio) following specific guidelines to ensure data accuracy, consistency, and quality. The annotated data will be used for training AI models, enabling them to make accurate predictions.Key Responsibilities:
- Data Labeling: Annotate data accurately using specialized tools (e.g., images, text, speech, video).
- Quality Control: Review and validate annotations made by other team members to ensure accuracy and consistency.
- Follow Guidelines: Adhere to detailed annotation instructions and labeling conventions provided by project managers.
- Collaborate: Work closely with data scientists and engineers to understand project goals and labeling requirements.
- Feedback: Provide feedback on annotation guidelines and suggest improvements to ensure the annotation process aligns with the projects goals.
- Reporting: Document progress and issues during the annotation process and report to supervisors.
Required Skills:
- Attention to Detail: Ability to identify subtle patterns and distinctions in the data to ensure high annotation quality.
- Basic Technical Knowledge: Familiarity with data annotation tools such as Labelbox, CVAT, Amazon SageMaker Ground Truth, or similar platforms.
- Communication: Ability to clearly communicate issues and feedback with the project management team.
- Analytical Skills: Comfortable working with large datasets and understanding the objectives of machine learning models.
Preferred Qualifications:
- Experience in data labeling for specific domains (e.g., image recognition, natural language processing, autonomous vehicles).
- Familiarity with AI/ML concepts and how annotated data impacts model performance.
- Experience with datasets containing sensitive or confidential information and knowledge of privacy concerns.
Education:
- Bachelors degree in Computer Science, Data Science, Information Systems, or a related field is preferred but not mandatory.
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HashTags: #Data #Annotation
