![remotemondays's tweet photo. My Friend Just Got This Job $7/hr From Turing; Despite The Job Going to Acheive
[APPLY NOW]
We are looking for highly detail-oriented Video Data Annotators to support cutting-edge AI/ML initiatives focused on first-person (egocentric) video understanding.
In this role, you will analyze video clips and answer questions based strictly on what is visually observable at a specific moment in time. Your work will directly contribute to training and improving advanced vision-language models.
This is a precision-driven role that requires strong observational skills, disciplined thinking, and the ability to follow strict guidelines.
Key Responsibilities:
Review first-person video clips and analyze visual content at specific timestamps
Provide accurate, concise, and evidence-based answers grounded in visible information
Identify and select the exact visual evidence supporting each answer
Determine whether a question is valid or unanswerable based on the available video content
Ensure no use of future frames or external assumptions when answering questions
Maintain high consistency and accuracy across large volumes of tasks
Adhere strictly to project guidelines, formatting, and quality standards
Perform self-review to ensure alignment between question, evidence, and answer
Required Skills and Qualifications:
Core Skills
Strong attention to detail and ability to spot subtle visual differences
Excellent observational and visual interpretation skills
Clear and concise written communication
Strong reading comprehension and understanding of nuanced questions
Critical thinking and logical reasoning (sequence, counting, spatial awareness)
Ability to remain objective and avoid assumptions beyond visible data
Behavioral Traits
High level of focus and consistency in repetitive, detail-heavy tasks
Strong ownership and accountability for quality of work
Ability to follow strict guidelines with high precision
Self-driven with a proactive quality-check mindset
Preferred Backgrounds:
Experience in data annotation, data labeling, or content moderation
Exposure to image/video annotation or computer vision projects
Background in QA, quality assurance, or analytical roles
Familiarity with AI/ML data workflows is a plus
Offer Details:
Commitments Required: 40 hours per week with at least 4 hours PST overlap
Employment type : Contractor assignment (no medical/paid leave)
Duration of contract : 4 weeks; [expected start date is next week]
Location : Brazil, Colombia, Mexico, Peru , Egypt, India, Nigeria, Ghana, Indonesia, Pakistan, Turkey, Vietnam
Link to Apply: https://t.co/V3OYa8yNRC](https://pbs.twimg.com/media/HGm3HQOXEAADh9b.jpg)
Olivia
Online
ⓜⓞⓓⓡⓔⓐⓛⓜ .base.eth☕
@modrealm_
|Shaping decentralized futures with blockchain & NFT vibes 🧩| 🤝 Web 3 Community Builder| Helping newbies & devs grow in DeFi ecosystems ⏳
Joined August 2024
1.8K Following
1.1K Followers
2.5K Posts
@DfinityToday Brazil - Morocco
1-2
I’m building a global supply network for PhD-level researchers for Turing focusing on Africa countries majorly.
If you know anyone or friend in any Universities, research institutions, Postdoc fellowship programmes, Academic recruitment firms Research networks and scientific societies.
In the following Disciplines: Physics, Biology, Chemistry, Maths, Computer Science
Tag them to this post ASAP
Roles are fully remote, short-term contracts. Open to PhD holders and currently enrolled PhD candidates. Global.
Potential earnings range for ($1000-$3000 per contract)
@SadlifeTv_ Well I disagree with that.
I won’t call base the messiah of the crypto Space.
The utility is there
The numbers are there
The future is within our grasp
The journey can never be completed within days, month or years. But it will come
The space is not totally dead as you think.
@Jagabenz001 😂😂😂
Where I see the 10$
@Prinz_Land Part of the ride in Solana is selling your soul to please the devil once in a while.
@remotemondays Happy birthday chief
@Jagabenz001 😌😌😌 flex life jare. Life x too short
Hari ini, gw mencoba Artificial Forward Test strategi trading gw. Gw coba runut ya:
1.) Strategi Trading
Frekuensi: Harian
Pair: EUR/USD
Sinyal: Kalo kemarin Bearish, hari ini sell short. Kalo kemarin Bullish, hari ini buy long. Kalo kemarin Doji, hari ini skip trading.
Entry: Ketika jam 00.00 (galat 15 menit), Entry di Market Price kalau Spread sesuai dengan spread yang diizinkan.
Lot Size: Menyesuaikan dengan risk per trade dan jarak SL yang dihitung, serta minimum lot dari broker. Yang penting risk per trade 0.3% per hari per trade dari total balance.
SL: Rolling Percentile 80% dari 250 data head dan tail wick candle. (Dinamis)
TP: dua kali SL (2:1)
Conditional: Tutup posisi trading ketika jam 23.45 ke atas. Mau posisi loss atau profit selama belum hit TP atau SL, tutup.
2.) Data Backtest
Data backtest yang gw pake itu sifatnya random walk yang di-generate pakai database distribusi volatilitas pair EUR/USD di tf M15. Kenapa M15? sebenernya bisa aja M1, cuma mager aja karena pasti lama banget bua bikin data nya doang. Apalagi running testnya. Jadi kita kasar dulu pakai M15. Gw bikin data nya jadi 10 file, 1 file nya isinya candlestick M15 selama 10 tahun trading days.
Jadi total nya durasi test sekitar 100 tahun. Karena gw pengen tau, gimana kondisinya kalo gerakan market ini acak, dan membentuk macam-macam trend. Apakah strategi gw bisa survive? atau malah mati.
Hasilnya tertera di tabel. Mungkin untuk post selanjutnya gw bakal coba upload gambar untuk masing masing case (1 sd 10) itu kondisi grafik market nya gimana, apakah bullish, bearish, atau sideways? Artificial Forward Test ini berguna banget. Kita ga perlu nunggu live test 100 tahun buat test doang, karena kita bisa generate data random sesuai volatilitas market yang kita mau tradingkan.
My Friend Just Got This Job $7/hr From Turing; Despite The Job Going to Acheive
[APPLY NOW]
We are looking for highly detail-oriented Video Data Annotators to support cutting-edge AI/ML initiatives focused on first-person (egocentric) video understanding.
In this role, you will analyze video clips and answer questions based strictly on what is visually observable at a specific moment in time. Your work will directly contribute to training and improving advanced vision-language models.
This is a precision-driven role that requires strong observational skills, disciplined thinking, and the ability to follow strict guidelines.
Key Responsibilities:
Review first-person video clips and analyze visual content at specific timestamps
Provide accurate, concise, and evidence-based answers grounded in visible information
Identify and select the exact visual evidence supporting each answer
Determine whether a question is valid or unanswerable based on the available video content
Ensure no use of future frames or external assumptions when answering questions
Maintain high consistency and accuracy across large volumes of tasks
Adhere strictly to project guidelines, formatting, and quality standards
Perform self-review to ensure alignment between question, evidence, and answer
Required Skills and Qualifications:
Core Skills
Strong attention to detail and ability to spot subtle visual differences
Excellent observational and visual interpretation skills
Clear and concise written communication
Strong reading comprehension and understanding of nuanced questions
Critical thinking and logical reasoning (sequence, counting, spatial awareness)
Ability to remain objective and avoid assumptions beyond visible data
Behavioral Traits
High level of focus and consistency in repetitive, detail-heavy tasks
Strong ownership and accountability for quality of work
Ability to follow strict guidelines with high precision
Self-driven with a proactive quality-check mindset
Preferred Backgrounds:
Experience in data annotation, data labeling, or content moderation
Exposure to image/video annotation or computer vision projects
Background in QA, quality assurance, or analytical roles
Familiarity with AI/ML data workflows is a plus
Offer Details:
Commitments Required: 40 hours per week with at least 4 hours PST overlap
Employment type : Contractor assignment (no medical/paid leave)
Duration of contract : 4 weeks; [expected start date is next week]
Location : Brazil, Colombia, Mexico, Peru , Egypt, India, Nigeria, Ghana, Indonesia, Pakistan, Turkey, Vietnam
Link to Apply: https://t.co/V3OYa8yNRC
![remotemondays's tweet photo. My Friend Just Got This Job $7/hr From Turing; Despite The Job Going to Acheive
[APPLY NOW]
We are looking for highly detail-oriented Video Data Annotators to support cutting-edge AI/ML initiatives focused on first-person (egocentric) video understanding.
In this role, you will analyze video clips and answer questions based strictly on what is visually observable at a specific moment in time. Your work will directly contribute to training and improving advanced vision-language models.
This is a precision-driven role that requires strong observational skills, disciplined thinking, and the ability to follow strict guidelines.
Key Responsibilities:
Review first-person video clips and analyze visual content at specific timestamps
Provide accurate, concise, and evidence-based answers grounded in visible information
Identify and select the exact visual evidence supporting each answer
Determine whether a question is valid or unanswerable based on the available video content
Ensure no use of future frames or external assumptions when answering questions
Maintain high consistency and accuracy across large volumes of tasks
Adhere strictly to project guidelines, formatting, and quality standards
Perform self-review to ensure alignment between question, evidence, and answer
Required Skills and Qualifications:
Core Skills
Strong attention to detail and ability to spot subtle visual differences
Excellent observational and visual interpretation skills
Clear and concise written communication
Strong reading comprehension and understanding of nuanced questions
Critical thinking and logical reasoning (sequence, counting, spatial awareness)
Ability to remain objective and avoid assumptions beyond visible data
Behavioral Traits
High level of focus and consistency in repetitive, detail-heavy tasks
Strong ownership and accountability for quality of work
Ability to follow strict guidelines with high precision
Self-driven with a proactive quality-check mindset
Preferred Backgrounds:
Experience in data annotation, data labeling, or content moderation
Exposure to image/video annotation or computer vision projects
Background in QA, quality assurance, or analytical roles
Familiarity with AI/ML data workflows is a plus
Offer Details:
Commitments Required: 40 hours per week with at least 4 hours PST overlap
Employment type : Contractor assignment (no medical/paid leave)
Duration of contract : 4 weeks; [expected start date is next week]
Location : Brazil, Colombia, Mexico, Peru , Egypt, India, Nigeria, Ghana, Indonesia, Pakistan, Turkey, Vietnam
Link to Apply: https://t.co/V3OYa8yNRC](https://pbs.twimg.com/media/HGm3HQOXcAA2rkv.jpg)
@0xQingWu 0x3de7a72fe19aa75e15997b6b2334059f93d8194f
@TeaFiAfricaDAO Always tea
@loko199 Thats AI
TEA Under the Microscope: Token Economics, Market Structure, and What the Data Is Telling Us https://t.co/yJSyIkLy0O
TEA Under the Microscope: Token Economics, Market Structure, and What the Data Is Telling Us https://t.co/yJSyIkLy0O
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