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Content Annotation

3 months ago

New Delhi, India HireBloc Full time
OverviewThe DataAnnotation role is critical in ensuring the accuracy and quality ofdata used in machine learning and artificial intelligenceapplications. Data Annotation specialists play a crucial part inthe development and enhancement of algorithms by meticulouslylabeling categorizing and verifying data. Their work directlyimpacts the efficiency and performance of AI models making theirrole essential to the success of datadrivenprojects.Keyresponsibilities
  • Annotate variousforms of data including text images and videos according tospecific project requirements
  • Ensure accuracyand consistency in data annotations through thorough verificationand quality checks
  • Collaborate with datascientists machine learning engineers and other stakeholders tounderstand project goals and annotationguidelines
  • Utilize annotation tools andsoftware to efficiently label and categorize large volumes ofdata
  • Adhere to project timelines and deliverhighquality annotated data within specifieddeadlines
  • Identify and report any issues orinconsistencies in the data and provide suggestions forimprovement
  • Work closely with the datamanagement team to maintain organized datasets and ensure dataintegrity
  • Participate in regular team meetingsand contribute to discussions on data annotation best practices andchallenges
  • Assist in developing and refiningannotation guidelines and processes to optimize efficiency andaccuracy
  • Communicate effectively with teammembers and project leads to provide updates on annotation progressand challenges
  • Follow best practices for datasecurity and confidentiality to protect sensitiveinformation
  • Stay updated on industry trends andadvancements in data annotation technology andpractices
  • Contribute to the training of newteam members and provide guidance on data annotationprocedures
  • Support the development andimplementation of automated annotation tools andprocesses
Requiredqualifications
  • Bachelors degree inComputer Science Data Science Information Technology or a relatedfield
  • Proven experience in data annotation datalabeling or similar roles within the AI or machine learningdomain
  • Demonstrated proficiency in usingannotation tools and software such as Labelbox Prodigy or AmazonSageMaker Ground Truth
  • Strong understanding ofdata management principles and practices with the ability tomaintain structured and wellorganizeddatasets
  • Excellent attention to detail and theability to maintain focus during repetitivetasks
  • Ability to collaborate effectively in ateam environment communicate clearly and contribute to a positiveand collaborative work culture
  • Analytical andproblemsolving skills to identify and address data annotationissues and challenges
  • Solid time managementskills to prioritize tasks meet deadlines and adapt to changingproject requirements
  • Familiarity with dataprivacy and security regulations and a commitment to upholding dataconfidentiality and protectionprotocols
  • Proficiency in using productivity andcollaboration tools such as Microsoft Office Google Workspace orSlack
  • Knowledge of machine learning and AIconcepts and the ability to understand the impact of qualityannotated data on model performance
  • Strongwillingness to learn and adapt to new annotation techniques toolsand processes
  • Ability to work with large anddiverse datasets including text images audio and videodata
  • Experience in mentoring or training teammembers in annotation methods and bestpractices
  • Certifications in data annotationmachine learning or related fields are aplus

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